Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world's largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands on, builder focused environment. You will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services. As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering practices. You will build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high value opportunities and deliver robust solutions integrated with strategic platforms and operational processes. Job Responsibilities Lead the design, development, and implementation of agentic AI applications that support Markets Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production ready AI, machine learning, and generative AI solutions Design and implement agent harnesses, orchestration layers, tool use frameworks, workflow automation patterns, and guardrails for enterprise AI applications Develop context management strategies, including retrieval approaches, memory patterns, prompt and context construction, grounding, data access controls, and lifecycle management of contextual information Build and enhance robust AI services and infrastructure using modern engineering practices, including APIs, event driven patterns, CI/CD, Infrastructure-as-Code, observability, and automated testing Partner with AI researchers, data scientists, and software engineers to translate emerging AI capabilities into practical, reliable, and compliant enterprise applications Establish evaluation, monitoring, and feedback mechanisms for AI systems, including quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controls Design approaches for continual learning and improvement, including human in the loop feedback, telemetry driven enhancement, model, prompt, and version management, and safe release practices Collaborate with Markets Operations stakeholders to understand process pain points and translate them into AI enabled technology solutions with measurable business impact Document and communicate architecture decisions, design tradeoffs, engineering standards, and implementation patterns to technical and non technical audiences Mentor engineers and contribute to a culture of technical excellence, innovation, responsible AI adoption, and continuous learning Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experience Strong software engineering experience with Python and experience designing, building, and operating production grade applications Experience designing and building AI, machine learning, generative AI, or agentic applications, including integration with enterprise systems and workflows Strong understanding of LLM application patterns, including prompt engineering, retrieval augmented generation, tool calling, context management, evaluation, and guardrails Experience with RESTful API design, development, and integration, including frameworks such as FastAPI Experience with data engineering concepts, ETL and data pipelines, structured and unstructured data, and integration with enterprise data platforms Experience with CI/CD, automated testing, observability, production monitoring, and operational readiness practices Familiarity with Infrastructure-as-Code solutions such as Terraform and cloud or container based deployment patterns Working knowledge of database design and integration, including relational, document, vector, or graph based data stores Understanding of security, controls, compliance, and model risk considerations relevant to enterprise AI systems Strong verbal and written communication skills, including the ability to influence architecture decisions and work effectively across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi agent systems, agent orchestration frameworks, workflow automation platforms, or tool augmented LLM applications Experience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approaches Experience building evaluation frameworks for AI applications, including golden datasets, automated scoring, human review workflows, red teaming, regression testing, and production quality monitoring Experience with continual learning or continuous improvement patterns for AI systems, including feedback loops, telemetry analysis, prompt and model versioning, and experimentation frameworks Familiarity with Markets Operations processes, trade lifecycle, post trade operations, reconciliations, controls, exception management, or operational risk Experience applying Artificial Intelligence in finance, markets, operations, risk, or large scale enterprise technology environments Strong presentation, stakeholder partnership, technical leadership, and project execution skills
Aug 29, 2026
Full time
Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world's largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade engineering to deliver measurable impact across Markets Operations. You will collaborate with engineers, researchers, data scientists, and business leaders in a hands on, builder focused environment. You will have the opportunity to grow your career while helping advance safe, reliable, and effective AI in financial services. As an Applied AI Engineering Lead - Vice President in Markets Operations, you will lead the design and implementation of agentic AI applications that improve operational workflows, controls, productivity, and engineering practices. You will build reusable AI engineering patterns, context management frameworks, evaluation pipelines, and production ready AI services. You will partner closely with software engineers, AI and data science specialists, and operations stakeholders to identify high value opportunities and deliver robust solutions integrated with strategic platforms and operational processes. Job Responsibilities Lead the design, development, and implementation of agentic AI applications that support Markets Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production ready AI, machine learning, and generative AI solutions Design and implement agent harnesses, orchestration layers, tool use frameworks, workflow automation patterns, and guardrails for enterprise AI applications Develop context management strategies, including retrieval approaches, memory patterns, prompt and context construction, grounding, data access controls, and lifecycle management of contextual information Build and enhance robust AI services and infrastructure using modern engineering practices, including APIs, event driven patterns, CI/CD, Infrastructure-as-Code, observability, and automated testing Partner with AI researchers, data scientists, and software engineers to translate emerging AI capabilities into practical, reliable, and compliant enterprise applications Establish evaluation, monitoring, and feedback mechanisms for AI systems, including quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controls Design approaches for continual learning and improvement, including human in the loop feedback, telemetry driven enhancement, model, prompt, and version management, and safe release practices Collaborate with Markets Operations stakeholders to understand process pain points and translate them into AI enabled technology solutions with measurable business impact Document and communicate architecture decisions, design tradeoffs, engineering standards, and implementation patterns to technical and non technical audiences Mentor engineers and contribute to a culture of technical excellence, innovation, responsible AI adoption, and continuous learning Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field, or equivalent practical experience Strong software engineering experience with Python and experience designing, building, and operating production grade applications Experience designing and building AI, machine learning, generative AI, or agentic applications, including integration with enterprise systems and workflows Strong understanding of LLM application patterns, including prompt engineering, retrieval augmented generation, tool calling, context management, evaluation, and guardrails Experience with RESTful API design, development, and integration, including frameworks such as FastAPI Experience with data engineering concepts, ETL and data pipelines, structured and unstructured data, and integration with enterprise data platforms Experience with CI/CD, automated testing, observability, production monitoring, and operational readiness practices Familiarity with Infrastructure-as-Code solutions such as Terraform and cloud or container based deployment patterns Working knowledge of database design and integration, including relational, document, vector, or graph based data stores Understanding of security, controls, compliance, and model risk considerations relevant to enterprise AI systems Strong verbal and written communication skills, including the ability to influence architecture decisions and work effectively across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi agent systems, agent orchestration frameworks, workflow automation platforms, or tool augmented LLM applications Experience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approaches Experience building evaluation frameworks for AI applications, including golden datasets, automated scoring, human review workflows, red teaming, regression testing, and production quality monitoring Experience with continual learning or continuous improvement patterns for AI systems, including feedback loops, telemetry analysis, prompt and model versioning, and experimentation frameworks Familiarity with Markets Operations processes, trade lifecycle, post trade operations, reconciliations, controls, exception management, or operational risk Experience applying Artificial Intelligence in finance, markets, operations, risk, or large scale enterprise technology environments Strong presentation, stakeholder partnership, technical leadership, and project execution skills
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role The Ellison Institute of Technology (EIT) is seeking a detail-oriented and proactive Laboratory Technician to provide essential laboratory and experimental support within its innovative plant sciences research programmes. This role involves hands on responsibility for cultivating experimental plants, preparing reagents, and supporting a range of molecular biology, tissue culture, and microbial techniques. The successful candidate will assist with data collection, maintain accurate records, and uphold rigorous laboratory safety and maintenance standards. With responsibilities spanning inventory management, equipment upkeep, and sample handling, this position is integral to the smooth operation of research workflows and the delivery of high quality scientific outcomes. Ideal candidates will bring technical competence, strong organisational skills, and a collaborative mindset to support breakthrough research aligned with EIT's mission. Your Responsibilities Experimental Support Grow and maintain experimental plants under controlled conditions (growth chambers). Prepare reagents, buffers and transformation constructs as required. SupportAgrobacterium-mediated transformation. Prepare plant and microbial samples, including culture media, inoculations, antibiotics, and controlled environment setups. Support biochemical analyses, including protein extraction and purification, protein quantification, SDS-PAGE, immunodetection techniques (e.g., Western Blot), plate reader assays. Maintain and propagate tissue culture materials under sterile conditions. Assist in the transformation of plant tissues. Assist in the culture and maintenance of plant or microbial cells in a variety of systems. Support upstream and downstream processing steps including inoculation, growth monitoring, and harvesting of cultures, genotyping, metabolic analysis, sampling extraction and preparation for analysis. Execute routine molecular biology workflows to support genetic characterisation of plant and microbial strains. Prepare sterile media and maintain aseptic conditions for cell based cultures. Operate and monitor small scale bioreactors or fermenters. Laboratory Support and Maintenance Keep the laboratory clean and organised, including regularly cleaning benches, instruments, and common spaces. Support general laboratory organisation processes and stock management. Ensure that all equipment is properly stored, calibrated, and maintained. Assist with equipment setup and basic troubleshooting. Disinfect and sterilise laboratory tools, consumables, and areas according to established protocols. Ensure that laboratory safety standards are adhered to, including proper handling and disposal of waste materials. Comply with GMO regulations, follow SOPs, biosafety procedures and plant quarantine protocols. Data Collection and Record Keeping Accurately record experimental procedures and data in laboratory notebooks or digital systems. Support data analysis through organisation of datasets, labelling of samples, and contribution to experimental summaries. Inventory Management Assist in managing inventory of reagents, consumables, and laboratory supplies in accordance with EIT procedures. Keep accurate records of inventory levels, assist with ordering new stock, and ensure that supplies are replenished in a timely manner. Ensure that all reagents and materials are correctly labelled, stored, and easily accessible for workflows. Sample and Equipment Handling Assist with the transport and preparation of biological samples, ensuring that proper documentation and labelling procedures are followed. Deliver and retrieve samples and materials between different laboratory sections as needed. Handle and deliver consumables or samples to designated researchers or technical teams. Essential Skills, Qualifications & Experience Be qualified in a related field up to BSc (e.g. Biology, Biochemistry, Molecular Genetics). Familiarity with media preparation, sterilisation techniques and autoclaving of waste. Experience working with plants and microorganisms under sterile conditions. Understanding of molecular biology workflows, (including any of these skills: primer design, genotyping, PCR, plasmid extraction (mini , midi , and maxiprep), DNA/RNA extraction, DNA quantification, bacterial transformation (heat shock and electroporation), agarose gel electrophoresis, cloning, and construct design). An awareness of health and safety at work, COSHH legislation and understanding of laboratory safety. Desirable Knowledge, Skills and Experience Experience in Agrobacterium mediated transformation or basic plant transformation methods would be advantageous. Experience in plant cell culture, including initiation subculturing, regeneration and maintenance of suspension cultures under sterile conditions. Experience in histological preparation and sectioning of leaf tissues (e.g., using a vibrotome, microtome). Experience in microscopy (e.g., light, fluorescence, dissecting, confocal). Experience working under microaerobic or anaerobic condition. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Aug 28, 2026
Full time
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world-class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant-based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state-of-the-art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long-term substantial funding to support the unique scale and ambition of its vision. Your Role The Ellison Institute of Technology (EIT) is seeking a detail-oriented and proactive Laboratory Technician to provide essential laboratory and experimental support within its innovative plant sciences research programmes. This role involves hands on responsibility for cultivating experimental plants, preparing reagents, and supporting a range of molecular biology, tissue culture, and microbial techniques. The successful candidate will assist with data collection, maintain accurate records, and uphold rigorous laboratory safety and maintenance standards. With responsibilities spanning inventory management, equipment upkeep, and sample handling, this position is integral to the smooth operation of research workflows and the delivery of high quality scientific outcomes. Ideal candidates will bring technical competence, strong organisational skills, and a collaborative mindset to support breakthrough research aligned with EIT's mission. Your Responsibilities Experimental Support Grow and maintain experimental plants under controlled conditions (growth chambers). Prepare reagents, buffers and transformation constructs as required. SupportAgrobacterium-mediated transformation. Prepare plant and microbial samples, including culture media, inoculations, antibiotics, and controlled environment setups. Support biochemical analyses, including protein extraction and purification, protein quantification, SDS-PAGE, immunodetection techniques (e.g., Western Blot), plate reader assays. Maintain and propagate tissue culture materials under sterile conditions. Assist in the transformation of plant tissues. Assist in the culture and maintenance of plant or microbial cells in a variety of systems. Support upstream and downstream processing steps including inoculation, growth monitoring, and harvesting of cultures, genotyping, metabolic analysis, sampling extraction and preparation for analysis. Execute routine molecular biology workflows to support genetic characterisation of plant and microbial strains. Prepare sterile media and maintain aseptic conditions for cell based cultures. Operate and monitor small scale bioreactors or fermenters. Laboratory Support and Maintenance Keep the laboratory clean and organised, including regularly cleaning benches, instruments, and common spaces. Support general laboratory organisation processes and stock management. Ensure that all equipment is properly stored, calibrated, and maintained. Assist with equipment setup and basic troubleshooting. Disinfect and sterilise laboratory tools, consumables, and areas according to established protocols. Ensure that laboratory safety standards are adhered to, including proper handling and disposal of waste materials. Comply with GMO regulations, follow SOPs, biosafety procedures and plant quarantine protocols. Data Collection and Record Keeping Accurately record experimental procedures and data in laboratory notebooks or digital systems. Support data analysis through organisation of datasets, labelling of samples, and contribution to experimental summaries. Inventory Management Assist in managing inventory of reagents, consumables, and laboratory supplies in accordance with EIT procedures. Keep accurate records of inventory levels, assist with ordering new stock, and ensure that supplies are replenished in a timely manner. Ensure that all reagents and materials are correctly labelled, stored, and easily accessible for workflows. Sample and Equipment Handling Assist with the transport and preparation of biological samples, ensuring that proper documentation and labelling procedures are followed. Deliver and retrieve samples and materials between different laboratory sections as needed. Handle and deliver consumables or samples to designated researchers or technical teams. Essential Skills, Qualifications & Experience Be qualified in a related field up to BSc (e.g. Biology, Biochemistry, Molecular Genetics). Familiarity with media preparation, sterilisation techniques and autoclaving of waste. Experience working with plants and microorganisms under sterile conditions. Understanding of molecular biology workflows, (including any of these skills: primer design, genotyping, PCR, plasmid extraction (mini , midi , and maxiprep), DNA/RNA extraction, DNA quantification, bacterial transformation (heat shock and electroporation), agarose gel electrophoresis, cloning, and construct design). An awareness of health and safety at work, COSHH legislation and understanding of laboratory safety. Desirable Knowledge, Skills and Experience Experience in Agrobacterium mediated transformation or basic plant transformation methods would be advantageous. Experience in plant cell culture, including initiation subculturing, regeneration and maintenance of suspension cultures under sterile conditions. Experience in histological preparation and sectioning of leaf tissues (e.g., using a vibrotome, microtome). Experience in microscopy (e.g., light, fluorescence, dissecting, confocal). Experience working under microaerobic or anaerobic condition. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Software Engineer, ChatGPT Infrastructure OpenAI Careers Software Engineer, ChatGPT Infrastructure Applied AI Infrastructure - London, UK About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You'll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You'll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on call, incident response, and root cause analysis, and turn operational learnings into lasting engineering improvements. Work across product and infrastructure teams to ensure new systems are reliable, secure, and production ready. Build automation and tooling that reduce repetitive operational work and improve engineering effectiveness. You might thrive in this role if you: Have experience building and operating backend systems at scale. Understand distributed systems concepts such as concurrency, consistency, asynchronous processing, and failure handling. Enjoy writing production code while taking ownership of how systems behave in real world conditions. Can identify and address bottlenecks affecting latency, throughput, resource usage, or reliability. Have experience introducing production changes safely through testing, staged rollouts, monitoring, and rollback plans. Are comfortable investigating ambiguous technical problems and collaborating across teams to resolve them. Care about clear interfaces, maintainable systems, and practical engineering tradeoffs. Take ownership of projects from design and implementation through deployment and ongoing improvement. Qualifications 4+ years of professional software engineering experience, including significant experience building backend or distributed systems. Strong proficiency in at least one general purpose programming language and experience writing reliable, maintainable production code. Experience designing, building, or improving services, platforms, or shared infrastructure at scale. Familiarity with production reliability practices, including monitoring, incident response, root cause analysis, and operational readiness. Experience diagnosing performance, scalability, or reliability issues in production environments. Understanding of distributed systems, data storage, concurrency, asynchronous processing, or networking. Familiarity with modern deployment, observability, and cloud infrastructure practices. Ability to lead complex technical work and collaborate effectively across product and infrastructure teams. Experience with cloud infrastructure, containerized environments, or observability tools is useful but not required. We welcome candidates from backend engineering, distributed systems, platform engineering, and reliability backgrounds. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff i Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $255K - $405K + Offers Equity
Aug 28, 2026
Full time
Software Engineer, ChatGPT Infrastructure OpenAI Careers Software Engineer, ChatGPT Infrastructure Applied AI Infrastructure - London, UK About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You'll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You'll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on call, incident response, and root cause analysis, and turn operational learnings into lasting engineering improvements. Work across product and infrastructure teams to ensure new systems are reliable, secure, and production ready. Build automation and tooling that reduce repetitive operational work and improve engineering effectiveness. You might thrive in this role if you: Have experience building and operating backend systems at scale. Understand distributed systems concepts such as concurrency, consistency, asynchronous processing, and failure handling. Enjoy writing production code while taking ownership of how systems behave in real world conditions. Can identify and address bottlenecks affecting latency, throughput, resource usage, or reliability. Have experience introducing production changes safely through testing, staged rollouts, monitoring, and rollback plans. Are comfortable investigating ambiguous technical problems and collaborating across teams to resolve them. Care about clear interfaces, maintainable systems, and practical engineering tradeoffs. Take ownership of projects from design and implementation through deployment and ongoing improvement. Qualifications 4+ years of professional software engineering experience, including significant experience building backend or distributed systems. Strong proficiency in at least one general purpose programming language and experience writing reliable, maintainable production code. Experience designing, building, or improving services, platforms, or shared infrastructure at scale. Familiarity with production reliability practices, including monitoring, incident response, root cause analysis, and operational readiness. Experience diagnosing performance, scalability, or reliability issues in production environments. Understanding of distributed systems, data storage, concurrency, asynchronous processing, or networking. Familiarity with modern deployment, observability, and cloud infrastructure practices. Ability to lead complex technical work and collaborate effectively across product and infrastructure teams. Experience with cloud infrastructure, containerized environments, or observability tools is useful but not required. We welcome candidates from backend engineering, distributed systems, platform engineering, and reliability backgrounds. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff i Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation $255K - $405K + Offers Equity
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. In this role you will work in an agile environment, collaborating with cross-functional teams. Job Responsibilities: Leads a team of Site Reliability Engineers and support critical application 24x7 Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams. Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drives continuous improvement in system observability, alerting, and capacity planning. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, and reviews and debugs code written by others. Adds to team culture of diversity, opportunity, and respect. Develops and maintains incident response procedures, including root cause analysis and postmortem documentation. Required Qualifications, Capabilities, and Skills: Experience with formal training or certification on software engineering concepts. Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management. Ability to manage highly technical team of Site Reliability Engineers. Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development with use of automated unit testing. Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills: Multi Region disaster recovery setup, monitoring and testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large-scale data processing. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Aug 27, 2026
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. In this role you will work in an agile environment, collaborating with cross-functional teams. Job Responsibilities: Leads a team of Site Reliability Engineers and support critical application 24x7 Implements Site Reliability Engineering (SRE) best practices to ensure reliability, scalability, and performance of data platforms. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Scale and maintain a managed AWS Databricks platform, and provides engineering and operational support for the platform to Application/Engineering teams. Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drives continuous improvement in system observability, alerting, and capacity planning. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, and reviews and debugs code written by others. Adds to team culture of diversity, opportunity, and respect. Develops and maintains incident response procedures, including root cause analysis and postmortem documentation. Required Qualifications, Capabilities, and Skills: Experience with formal training or certification on software engineering concepts. Strong understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management. Ability to manage highly technical team of Site Reliability Engineers. Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development with use of automated unit testing. Experience with Terraform development and understanding of Terraform enterprise. Experience in delivering system design, application development, testing, and operational stability. Knowledge of Big Data distributed compute frameworks like Spark, Glue, MapReduce etc. Excellent troubleshooting, analytical, and communication skills. Preferred Qualifications, Capabilities, and Skills: Multi Region disaster recovery setup, monitoring and testing. Experience in Data pipelines using Spark. Exposure to AWS & Databricks Platform administration. Knowledge of containerization (Docker, Kubernetes) and orchestration. Familiarity with distributed systems and large-scale data processing. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
hackajob is partnering directly with Envitia to hire for this role. Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains click apply for full job details
Aug 27, 2026
Full time
hackajob is partnering directly with Envitia to hire for this role. Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains click apply for full job details
The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they accelerate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world's highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data - connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It's the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than Iran. Through the IRGC and its Qods Force, a network of proxies and Shia militant groups, state-linked cyber actors, and a sprawling sanctions-evasion apparatus, the Islamic Republic has turned to cryptocurrency to raise, move, and launder value beyond the reach of the traditional financial system - from exchange-based sanctions evasion and crypto mining powered by subsidized energy, to oil- and commodity-for-crypto schemes, dual-use procurement, and the financing of proxies across the region. Making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our Iran-focused intelligence analyst - the team's subject-matter expert on Iran and the IRGC - you'll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you'll go deep on a single, high-stakes domain - becoming the person, inside Chainalysis and increasingly across the industry, who understands how Iran and its proxies use crypto and can prove it on-chain. You'll own the attribution for Iran's crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on Iran crypto threats. Who you'll work with You'll join a fast-moving, globally distributed team - analysts, threat-domain SMEs, data scientists, and engineers - collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the Iran SME, you'll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you'll: Own Iran attribution end to end - the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Iranian exchanges and OTC/no-KYC networks, IRGC and IRGC-QF financing, Iranian proxy and Shia militant finance (e.g., Hezbollah, the Houthis, and Iraqi militias), sanctions-evasion infrastructure, Iranian ransomware and state-linked cyber operations, and oil-, commodity-, and procurement-for-crypto flows. Lead the attribution response to Iran-related sanctions events - when OFAC or allied authorities designate Iranian entities, actors, or infrastructure, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. Map the networks on-chain - trace how Iranian actors raise, move, launder, and cash out value through Iranian VASPs, regional exchanges, mixers, no-KYC swaps, mining operations, and off-ramps, and keep that picture current as they adapt to pressure. Produce finished intelligence - advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make the Iran crypto threat legible and actionable. Be the named external expert - represent Chainalysis on Iran crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. Help set the Iran collection agenda - surface what data we need on Iranian networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team's apparatus and prioritization, not you alone. Translate typologies into detection - turn what you learn about Iranian methods into guidance that our products and our customers can operationalize. Build with AI - design and tune the automation that scales your analysis and the team's, and handle the hard cases automation can't. Level up the team - raise the bar on Iran and threat-finance tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We're looking for candidates who have: Deep, demonstrable Iran expertise - real command of the IRGC and IRGC-Qods Force, Iran's proxy and Shia militant landscape, Iranian sanctions evasion, and/or Iran's illicit-finance and procurement systems. This is the core of the role, and we'll expect you to show it. On-chain tracing ability against Iranian targets - direct experience following Iranian crypto activity on-chain (Iranian exchanges, sanctions evasion, proxy or terror finance), or deep Iran threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. A national-security or threat-finance background - intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. Regional fluency - a strong grasp of Iranian geopolitics, the proxy network, and regional financial flows. Farsi (or Arabic) language ability is a significant plus. Elite potential and a proven track record - exceptional aptitude, judgment, and work ethic; you've led hard problems end to end and you raise everyone around you. Excellent writing and communication - this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. AI-forward instincts - you build automation to scale your work and others', not just use it. Comfort working with data; blockchain forensics experience strongly preferred. 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: Farsi language ability. Direct experience with OFAC sanctions, terror-finance designations, or the designation process. A record of published research or public speaking on Iran, sanctions evasion, or crypto threat finance. Familiarity with Iranian exchange infrastructure, crypto mining as a sanctions-evasion vector, or dual-use procurement networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you. . click apply for full job details
Aug 26, 2026
Full time
The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they accelerate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world's highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data - connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It's the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than Iran. Through the IRGC and its Qods Force, a network of proxies and Shia militant groups, state-linked cyber actors, and a sprawling sanctions-evasion apparatus, the Islamic Republic has turned to cryptocurrency to raise, move, and launder value beyond the reach of the traditional financial system - from exchange-based sanctions evasion and crypto mining powered by subsidized energy, to oil- and commodity-for-crypto schemes, dual-use procurement, and the financing of proxies across the region. Making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our Iran-focused intelligence analyst - the team's subject-matter expert on Iran and the IRGC - you'll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you'll go deep on a single, high-stakes domain - becoming the person, inside Chainalysis and increasingly across the industry, who understands how Iran and its proxies use crypto and can prove it on-chain. You'll own the attribution for Iran's crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on Iran crypto threats. Who you'll work with You'll join a fast-moving, globally distributed team - analysts, threat-domain SMEs, data scientists, and engineers - collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the Iran SME, you'll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you'll: Own Iran attribution end to end - the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Iranian exchanges and OTC/no-KYC networks, IRGC and IRGC-QF financing, Iranian proxy and Shia militant finance (e.g., Hezbollah, the Houthis, and Iraqi militias), sanctions-evasion infrastructure, Iranian ransomware and state-linked cyber operations, and oil-, commodity-, and procurement-for-crypto flows. Lead the attribution response to Iran-related sanctions events - when OFAC or allied authorities designate Iranian entities, actors, or infrastructure, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. Map the networks on-chain - trace how Iranian actors raise, move, launder, and cash out value through Iranian VASPs, regional exchanges, mixers, no-KYC swaps, mining operations, and off-ramps, and keep that picture current as they adapt to pressure. Produce finished intelligence - advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make the Iran crypto threat legible and actionable. Be the named external expert - represent Chainalysis on Iran crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. Help set the Iran collection agenda - surface what data we need on Iranian networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team's apparatus and prioritization, not you alone. Translate typologies into detection - turn what you learn about Iranian methods into guidance that our products and our customers can operationalize. Build with AI - design and tune the automation that scales your analysis and the team's, and handle the hard cases automation can't. Level up the team - raise the bar on Iran and threat-finance tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We're looking for candidates who have: Deep, demonstrable Iran expertise - real command of the IRGC and IRGC-Qods Force, Iran's proxy and Shia militant landscape, Iranian sanctions evasion, and/or Iran's illicit-finance and procurement systems. This is the core of the role, and we'll expect you to show it. On-chain tracing ability against Iranian targets - direct experience following Iranian crypto activity on-chain (Iranian exchanges, sanctions evasion, proxy or terror finance), or deep Iran threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. A national-security or threat-finance background - intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. Regional fluency - a strong grasp of Iranian geopolitics, the proxy network, and regional financial flows. Farsi (or Arabic) language ability is a significant plus. Elite potential and a proven track record - exceptional aptitude, judgment, and work ethic; you've led hard problems end to end and you raise everyone around you. Excellent writing and communication - this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. AI-forward instincts - you build automation to scale your work and others', not just use it. Comfort working with data; blockchain forensics experience strongly preferred. 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: Farsi language ability. Direct experience with OFAC sanctions, terror-finance designations, or the designation process. A record of published research or public speaking on Iran, sanctions evasion, or crypto threat finance. Familiarity with Iranian exchange infrastructure, crypto mining as a sanctions-evasion vector, or dual-use procurement networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can't wait to meet you. . click apply for full job details
Join us to shape the future of payments technology by leading innovation in testing and integration. You will drive impactful change, leveraging advanced AI and automation to deliver high-quality solutions. At JPMorgan Chase, you'll collaborate with talented teams, foster a culture of trust, and help us set new standards in business assurance. Your leadership will empower growth, resilience, and continuous improvement. Be part of a team where your vision and expertise make a real difference. As a Product Delivery Director, Stability and Resiliency in Payments Technology, you will lead global teams focused on delivering high-quality business and client assurance testing for payments products, platforms, and services. You will set the vision for adopting advanced AI, data-driven validation, and automation to accelerate change and minimize risk. You will ensure robust governance and control for technology change, demonstrate value through measurable outcomes, and build trust through transparent communication. You will also coordinate the Regional Stability & Resiliency Forum for EMEA Payments, fostering collaboration and business resiliency. Job Responsibilities Set strategic vision to build change confidence, reduce lead time, and enhance AI and data-driven solutions in change delivery Lead delivery of business assurance and client testing for complex payments products, including Liquidity and Account Solutions Partner with CTO organizations to ensure platform assurance and build change confidence Transform change testing practices by advancing AI and data solutions to support business growth and regulatory commitments Ensure security, risk management, and compliance for all technology changes Proactively assess risks, elevate issues, and deliver solutions Foster a culture of trust, transparency, and partnership across teams and functions Provide stakeholders with regular updates on business outcomes, metrics, and KPIs Align testing strategies with production behaviors to improve change confidence and stability Lead and manage a diverse, global technology organization focused on high-quality testing and assurance Coordinate and chair the Regional Technology Stability & Resiliency Forum for EMEA Payments Required Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree Experience in payments technology with a proven track record in leading technology delivery and managing complex, diverse teams. Understanding of the payments domain, Liquidity and Account Solutions in payments. Familiarity with regulatory and industry requirements in payments technology High emotional intelligence and stable leadership style, promoting a culture of continuous learning and innovation Ability to drive employee engagement and resilience through change Proficiency in product delivery, change management, and organizational development with knowledge of global payments products and regulatory requirements Advanced knowledge of AI, data, and development/testing methodologies Strong stakeholder management and ability to build trust across business and technology Outstanding communication, presentation, and interpersonal skills to engage executive leadership and foster collaboration Strong analytical and problem-solving skills focused on quantifying outcomes and value creation Ability to manage multiple priorities, resolve issues quickly, and drive continuous improvement Preferred Qualifications, Capabilities, and Skills Demonstrated success in leading organizational health and employee engagement initiatives Experience fostering a culture of innovation and continuous improvement Knowledge of regional stability and resiliency practices in payments Ability to influence and drive strategic initiatives across global teams
Aug 25, 2026
Full time
Join us to shape the future of payments technology by leading innovation in testing and integration. You will drive impactful change, leveraging advanced AI and automation to deliver high-quality solutions. At JPMorgan Chase, you'll collaborate with talented teams, foster a culture of trust, and help us set new standards in business assurance. Your leadership will empower growth, resilience, and continuous improvement. Be part of a team where your vision and expertise make a real difference. As a Product Delivery Director, Stability and Resiliency in Payments Technology, you will lead global teams focused on delivering high-quality business and client assurance testing for payments products, platforms, and services. You will set the vision for adopting advanced AI, data-driven validation, and automation to accelerate change and minimize risk. You will ensure robust governance and control for technology change, demonstrate value through measurable outcomes, and build trust through transparent communication. You will also coordinate the Regional Stability & Resiliency Forum for EMEA Payments, fostering collaboration and business resiliency. Job Responsibilities Set strategic vision to build change confidence, reduce lead time, and enhance AI and data-driven solutions in change delivery Lead delivery of business assurance and client testing for complex payments products, including Liquidity and Account Solutions Partner with CTO organizations to ensure platform assurance and build change confidence Transform change testing practices by advancing AI and data solutions to support business growth and regulatory commitments Ensure security, risk management, and compliance for all technology changes Proactively assess risks, elevate issues, and deliver solutions Foster a culture of trust, transparency, and partnership across teams and functions Provide stakeholders with regular updates on business outcomes, metrics, and KPIs Align testing strategies with production behaviors to improve change confidence and stability Lead and manage a diverse, global technology organization focused on high-quality testing and assurance Coordinate and chair the Regional Technology Stability & Resiliency Forum for EMEA Payments Required Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Engineering, Business, or related field; Master's degree Experience in payments technology with a proven track record in leading technology delivery and managing complex, diverse teams. Understanding of the payments domain, Liquidity and Account Solutions in payments. Familiarity with regulatory and industry requirements in payments technology High emotional intelligence and stable leadership style, promoting a culture of continuous learning and innovation Ability to drive employee engagement and resilience through change Proficiency in product delivery, change management, and organizational development with knowledge of global payments products and regulatory requirements Advanced knowledge of AI, data, and development/testing methodologies Strong stakeholder management and ability to build trust across business and technology Outstanding communication, presentation, and interpersonal skills to engage executive leadership and foster collaboration Strong analytical and problem-solving skills focused on quantifying outcomes and value creation Ability to manage multiple priorities, resolve issues quickly, and drive continuous improvement Preferred Qualifications, Capabilities, and Skills Demonstrated success in leading organizational health and employee engagement initiatives Experience fostering a culture of innovation and continuous improvement Knowledge of regional stability and resiliency practices in payments Ability to influence and drive strategic initiatives across global teams
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Aug 25, 2026
Full time
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Role Description Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You'll get to collaborate with our software development and DevOps teams to secure Wiz's products, CI/CD infrastructure, and production infrastructure. You'll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments. Responsibilities Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies. Build automation, policy-as-code, and security tooling that enables development teams to "shift left" and integrate end-to-end security into their workflows. Design and implement secure baselines for cloud resources and Kubernetes based infrastructure. Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls in software supply chains from development through production. Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents. Build deep functional partnerships with Wiz's engineering and operations teams - helping them deliver secure-by-design solutions. Minimum qualifications 7+ years of experience in security engineering or security operations work in cloud environments. Experience with AWS cloud security (or equivalent experience in Azure and GCP with some level of AWS experience). Experience with cloud native Kubernetes services (EKS/GKE/AKS) and container security principles. Experience securing IAM and cloud identities at scale. Experience leading technical security reviews of products and architectures, conducting threat modeling exercises, and translating findings into actionable security controls. Practical understanding of web application security concepts (such as OWASP Top-10 and similar). Hands-on experience with IaC and related tools (Terraform, CloudFormation, Helm, Pulumi). Experience with automation and tooling development in one or more of the following: Python, Go, Shell, HCL, Rego. Preferred qualifications Bachelor's degree in computer science or a related field, and/or equivalent job experience in lieu of a degree. Experience working with remote, globally distributed teams. Experience working in organizations that develop software and/or operate managed infrastructure and technology services for their own customers. Experience with CNAPP, CSPM, or CIEM solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - eTrading team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced knowledge and demonstrated skills in in programming languages C and C++ Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Hands on experience working within Financial Services Industry Hands on experience on high throughput and low latency systems Hands on experience in electronic trading systems ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Aug 24, 2026
Full time
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - eTrading team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced knowledge and demonstrated skills in in programming languages C and C++ Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Hands on experience working within Financial Services Industry Hands on experience on high throughput and low latency systems Hands on experience in electronic trading systems ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
VP Marketing Senior Level (5+ years) Posted 3/8/2026 1) Team Mission:Ripjar's team builds software products that make the world safer. We work together, mixing creativity with technology and engineering excellence to solve problems that nobody else can.Our mission is to elevate brand awareness and drive revenue growth through innovative marketing strategies that captivate audiences, foster customer loyalty and amplify the influence of our brand in the marketplace. 2) The role:We're looking for a strategic and hands on Vice President of Marketing to lead and scale our global marketing strategy. In this role, you will be responsible for shaping our brand, driving demand, and delivering measurable growth across all channels. You'll work closely with the executive team to translate business goals into high impact marketing initiatives that strengthen market position, accelerate customer acquisition, and deepen customer engagement.This is a highly visible leadership role for someone who thrives in a fast paced environment, combines creativity with commercial insight, and is passionate about building a brand that resonates with customers and delivers sustainable growth. 3) What you'll be doing:Develop and execute a comprehensive global marketing strategy, ensuring alignment with business objectives and regional market dynamics.Drive operational excellence by developing and executing strategies to optimise the full marketing funnel, from awareness to acquisition, ensuring MQLs seamlessly transition to SQLs and ultimately convert into closed deals.Implement performance driven, data backed marketing campaigns that align with sales goals, leveraging SEO, content marketing, paid media, account based marketing (ABM), and marketing automation in line with the budget parameters.Oversee global marketing analytics, lead scoring, conversion rate optimisation, and attribution modelling to ensure data backed decision making and pipeline forecasting.Elevate the company's brand as an industry leader by driving messaging, PR, analyst relations, and executive thought leadership initiatives.Work closely with sales leadership to create a seamless marketing to sales handoff, ensuring alignment on ICP (Ideal Customer Profile), lead quality, and sales enablement strategies.Coordinate the development of compelling positioning, messaging and competitive differentiation strategies for global markets to drive product adoption and customer retention in partnership with the marketing agency and product leadership.Optimise global marketing spend, allocate resources effectively, and lead a distributed team of marketers, growth strategists and demand generation experts.Work with Customer Success to drive customer advocacy, developing compelling new customer case studies, press releases and success stories. Requirements Experience in a senior B2B SaaS marketing leadership position, ideally in financial crime, risk, or compliance sectors. Proven ability to scale global marketing functions across demand gen, brand, product marketing, and field marketing. Strong track record driving end to end demand generation and delivering qualified pipeline aligned to revenue goals. Expertise in GTM strategy, product positioning, segmentation, and crafting differentiated messaging for technical SaaS solutions. Highly data driven, with strong skills in marketing analytics, attribution, forecasting, and performance optimisation. Demonstrated experience managing global teams and collaborating across time zones and functional departments. Strong background in PR, analyst relations, and executive thought leadership to elevate brand presence in enterprise markets. Ability to translate complex AI driven, risk intelligence or compliance technologies into clear, compelling narratives. Experience working with or selling into regulated industries such as financial services, government, or national security. Proven capability to manage and optimise multi million pound marketing budgets to deliver measurable ROI and pipeline impact. Competitive base salary DOE 25 days annual leave + birthdays off, rising to 30 days after 5 years of service & Christmas shutdown. Fully remote working Private Family Healthcare Life Assurance Pension salary sacrifice Employee Assistance Programme Company contributions to your pension Enhanced maternity/paternity pay The latest tech including a top of the range MacBook Pro There is a well stocked pantry with food, snacks and drinks when in the office About the Company Technology Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time.
Aug 23, 2026
Full time
VP Marketing Senior Level (5+ years) Posted 3/8/2026 1) Team Mission:Ripjar's team builds software products that make the world safer. We work together, mixing creativity with technology and engineering excellence to solve problems that nobody else can.Our mission is to elevate brand awareness and drive revenue growth through innovative marketing strategies that captivate audiences, foster customer loyalty and amplify the influence of our brand in the marketplace. 2) The role:We're looking for a strategic and hands on Vice President of Marketing to lead and scale our global marketing strategy. In this role, you will be responsible for shaping our brand, driving demand, and delivering measurable growth across all channels. You'll work closely with the executive team to translate business goals into high impact marketing initiatives that strengthen market position, accelerate customer acquisition, and deepen customer engagement.This is a highly visible leadership role for someone who thrives in a fast paced environment, combines creativity with commercial insight, and is passionate about building a brand that resonates with customers and delivers sustainable growth. 3) What you'll be doing:Develop and execute a comprehensive global marketing strategy, ensuring alignment with business objectives and regional market dynamics.Drive operational excellence by developing and executing strategies to optimise the full marketing funnel, from awareness to acquisition, ensuring MQLs seamlessly transition to SQLs and ultimately convert into closed deals.Implement performance driven, data backed marketing campaigns that align with sales goals, leveraging SEO, content marketing, paid media, account based marketing (ABM), and marketing automation in line with the budget parameters.Oversee global marketing analytics, lead scoring, conversion rate optimisation, and attribution modelling to ensure data backed decision making and pipeline forecasting.Elevate the company's brand as an industry leader by driving messaging, PR, analyst relations, and executive thought leadership initiatives.Work closely with sales leadership to create a seamless marketing to sales handoff, ensuring alignment on ICP (Ideal Customer Profile), lead quality, and sales enablement strategies.Coordinate the development of compelling positioning, messaging and competitive differentiation strategies for global markets to drive product adoption and customer retention in partnership with the marketing agency and product leadership.Optimise global marketing spend, allocate resources effectively, and lead a distributed team of marketers, growth strategists and demand generation experts.Work with Customer Success to drive customer advocacy, developing compelling new customer case studies, press releases and success stories. Requirements Experience in a senior B2B SaaS marketing leadership position, ideally in financial crime, risk, or compliance sectors. Proven ability to scale global marketing functions across demand gen, brand, product marketing, and field marketing. Strong track record driving end to end demand generation and delivering qualified pipeline aligned to revenue goals. Expertise in GTM strategy, product positioning, segmentation, and crafting differentiated messaging for technical SaaS solutions. Highly data driven, with strong skills in marketing analytics, attribution, forecasting, and performance optimisation. Demonstrated experience managing global teams and collaborating across time zones and functional departments. Strong background in PR, analyst relations, and executive thought leadership to elevate brand presence in enterprise markets. Ability to translate complex AI driven, risk intelligence or compliance technologies into clear, compelling narratives. Experience working with or selling into regulated industries such as financial services, government, or national security. Proven capability to manage and optimise multi million pound marketing budgets to deliver measurable ROI and pipeline impact. Competitive base salary DOE 25 days annual leave + birthdays off, rising to 30 days after 5 years of service & Christmas shutdown. Fully remote working Private Family Healthcare Life Assurance Pension salary sacrifice Employee Assistance Programme Company contributions to your pension Enhanced maternity/paternity pay The latest tech including a top of the range MacBook Pro There is a well stocked pantry with food, snacks and drinks when in the office About the Company Technology Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham, you are more than welcome to work from our office at any time.
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role: At EIT we are seeking an experienced and detail orientated Bio ML Scientist to develop AI and machine learning systems that drive GBI's scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI's Technology Hub on ML Engineering, a fast growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome scale metabolic models. Our team ethos is based on mutual learning, strong peer to peer support, and a deep sense of scientific curiosity and ambition. Key Responsibilities: Research, design and build AI and machine learning systems to address GBI's research challenges in synthetic biology, genome design, and molecular evolution. Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators. Work closely with GBI scientists in co creation of research projects and development of fit for purpose computational solutions. Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research. Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps. Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentationof data, models, and code. Keep abreast of progress in AIxBio and make use of strategic learning opportunities. Lead and contribute to research publications in prestigious venues. Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines. Essential Knowledge, Skills and Experience: PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline. Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities. Ability to abstract high level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences. Ability to learn quickly and dive into a range of problem spaces and computational methods. Ability to work and communicate with and within diverse and multidisciplinary teams. Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation. Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background. Excellent time management skills across competing tasks requiring rapid context switching. Desirable Knowledge, Skills and Experience: Two years of industry or postdoctoral experience in similar roles. Proven experience with integration of machine learning methods with genome scale metabolic models. Proven experience with best practices and established software pipelines for genome scale metabolic modelling, including automated model construction from 'omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint based modelling. Our Benefits: Travel Allowance Bonus Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance. Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working model
Aug 20, 2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovatorsto tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role: At EIT we are seeking an experienced and detail orientated Bio ML Scientist to develop AI and machine learning systems that drive GBI's scientific aims, working alongside researchers and technical staff to address key questions in biological design and discovery. The post holder will work with multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI's Technology Hub on ML Engineering, a fast growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking for a colleague who thrives in a team and cares deeply about biological questions, hypotheses, and a biology centric approach to AI/ML engineering. The role requires expertise in machine learning applied to biological design or discovery, and prior exposure to collaboration with wet lab scientists. We are particularly interested in candidates with experience in combining AI/ML and genome scale metabolic models. Our team ethos is based on mutual learning, strong peer to peer support, and a deep sense of scientific curiosity and ambition. Key Responsibilities: Research, design and build AI and machine learning systems to address GBI's research challenges in synthetic biology, genome design, and molecular evolution. Lead and contribute to collaborative projects with other MLEng team members, GBI researchers and staff, relevant colleagues across EIT, and external collaborators. Work closely with GBI scientists in co creation of research projects and development of fit for purpose computational solutions. Provide expert computational biology knowhow to GBI researchers and scope novel avenues of research. Interact with the Bioinformatics and Scientific Compute platform teams to support the development of GBI data flows and MLOps. Ensure compliance with best practices in ML engineering, including robust and reproducible training pipelines, as well as versioning and documentationof data, models, and code. Keep abreast of progress in AIxBio and make use of strategic learning opportunities. Lead and contribute to research publications in prestigious venues. Organise and prioritise work, operating at the highest standard in the face of multiple competing deadlines. Essential Knowledge, Skills and Experience: PhD degree in a suitable field including, but not limited to, molecular biology, biochemistry, mathematics, computer science, computational biology, engineering, or related discipline. Experience in building machine learning models for biological design or discovery tasks, involving processing, visualizing, and analysing various data modalities. Ability to abstract high level biological questions and translate them into actionable computational tasks, evidenced by previous achievements in a comparable industry role, or a promising publication record in scientific journals and technical conferences. Ability to learn quickly and dive into a range of problem spaces and computational methods. Ability to work and communicate with and within diverse and multidisciplinary teams. Fluency in one or more scientific programming languages (Python, R, Julia, etc.) with experience in best practices in machine learning, including documentation. Excellent written and oral communication skills for diverse audiences, including colleagues without a computational background. Excellent time management skills across competing tasks requiring rapid context switching. Desirable Knowledge, Skills and Experience: Two years of industry or postdoctoral experience in similar roles. Proven experience with integration of machine learning methods with genome scale metabolic models. Proven experience with best practices and established software pipelines for genome scale metabolic modelling, including automated model construction from 'omics data, flux balance analysis, flux sampling, sensitivity analysis, and related methods in constraint based modelling. Our Benefits: Travel Allowance Bonus Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance. Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working model
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role We are seeking a highly motivated Bioinformatician to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams. The successful candidate will work at the intersection of genomics, transcriptomics, and computational biology, to accelerate plant science research. By developing and implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic outcomes with greater accuracy. The role will require working closely with bioinformatics engineers and research scientists to design and deliver enterprise level analytical approaches that meet the evolving needs of the institute. The ideal candidate will have a strong background in genomics and transcriptomics, experience working with complex plant genomes, and the ability to break down complex research questions into clear, tangible milestones for implementation. Your Responsibilities Develop and implement bioinformatics algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large scale genomic and transcriptomic datasets from complex plant genomes. Collaborate with bioinformatics engineers and systems administrators to integrate algorithms into production pipelines and workflows. Communicate analytical approaches and findings clearly to both technical and non technical stakeholders. Essential Skills, Qualifications & Experience PhD, or equivalent research experience, in Bioinformatics, Genomics, Computational Biology, or a related field. Strong background in genomics and transcriptomics, with demonstrated experience working with complex plant genomes. Experience with bioinformatics tools for genome assembly, annotation and variant analysis. Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions and break them down into tangible, actionable milestones. Strong programming and scripting skills for data analysis (e.g. Python, R). Deep understanding of bioinformatics file formats, tools, and databases (e.g. FASTQ, BAM/VCF, BLAST, reference genomes). Experience using and developing version controlled codebases, familiarity with common tools (git) and development practices. Ability to work collaboratively with engineers, systems administrators, and research scientists to deliver research outcomes. Desirable Knowledge, Skills, and Experience Experience with workflow management systems (e.g. Nextflow, Snakemake). Experience with plant trait engineering and design. Understanding of FAIR data principles and metadata standards. Experience mentoring or guiding junior team members or collaborators. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Aug 19, 2026
Full time
Join us at EIT At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include Improved plant productivity, both indoors and outside. Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides. Novel decarbonised plant based production platforms for food and medicines. Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Your Role We are seeking a highly motivated Bioinformatician to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams. The successful candidate will work at the intersection of genomics, transcriptomics, and computational biology, to accelerate plant science research. By developing and implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic outcomes with greater accuracy. The role will require working closely with bioinformatics engineers and research scientists to design and deliver enterprise level analytical approaches that meet the evolving needs of the institute. The ideal candidate will have a strong background in genomics and transcriptomics, experience working with complex plant genomes, and the ability to break down complex research questions into clear, tangible milestones for implementation. Your Responsibilities Develop and implement bioinformatics algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large scale genomic and transcriptomic datasets from complex plant genomes. Collaborate with bioinformatics engineers and systems administrators to integrate algorithms into production pipelines and workflows. Communicate analytical approaches and findings clearly to both technical and non technical stakeholders. Essential Skills, Qualifications & Experience PhD, or equivalent research experience, in Bioinformatics, Genomics, Computational Biology, or a related field. Strong background in genomics and transcriptomics, with demonstrated experience working with complex plant genomes. Experience with bioinformatics tools for genome assembly, annotation and variant analysis. Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions and break them down into tangible, actionable milestones. Strong programming and scripting skills for data analysis (e.g. Python, R). Deep understanding of bioinformatics file formats, tools, and databases (e.g. FASTQ, BAM/VCF, BLAST, reference genomes). Experience using and developing version controlled codebases, familiarity with common tools (git) and development practices. Ability to work collaboratively with engineers, systems administrators, and research scientists to deliver research outcomes. Desirable Knowledge, Skills, and Experience Experience with workflow management systems (e.g. Nextflow, Snakemake). Experience with plant trait engineering and design. Understanding of FAIR data principles and metadata standards. Experience mentoring or guiding junior team members or collaborators. Our Benefits Salary dependent on experience + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role CrowdStrike's Data Science team mis seeking a Sr. Manager to lead a team of data scientists at the intersection of Machine Learning, Large Language Models, and Cybersecurity/reverse engineering. This is a leadership role where you will help the team manager business demand/needs, translate them to technical objectives, gain stakeholder buy in, and help drive the technical approaches and provide technical feedback and guidance to junior and experienced team members. As a technical leader you will support you team in identifying high-value problems in the short, mid, and long term, obtain stakeholder buy in, and translate problems in the business into actionable research objectives. You'll collaborate and work with all aspects of ML and cybersecurity, across a large enterprise and complex data problems in size (trillions of events a day), asperity, and the dynamic nature of an active adversary that adapts to our advances in the field. This role is a chance to work in impactful outcomes that improve people's security and safety, while also growing in depth and breadth. From assemble, lifting, decompilation to optimal control and continuous optimization, every problem in the spectrum of computer science and related disciplines occurs in tackling the problems CrowdStrike deals with. An excellent candidate will have a intrinsic desire to learn and leverage tools across these domains, invent new tools to fill the gaps in what we need, and a desire to increase their leverage by enabling a team to perform these critical research objectives. What You'll Do Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management Work with senior leadership to refine/define priorities, identify risks/gaps, support staff and budget planning, and disseminate key milestones to the business leaders. Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems Stay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoption Collaborate with cross-functional teams including security research, engineering, and product to align ML capabilities with business objectives Partner with security domain experts to identify high-impact opportunities where ML can enhance threat detection and response Communicate complex technical concepts and ML insights to stakeholders across the organization Guide the development of advanced models for malware detection, behavioral threat analysis, and AI-driven security automation Drive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communities Contribute to hands on technical work when needed, maintaining deep expertise in ML systems and security applications What You'll Need Advanced degree (Master's or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor's degree with equivalent experience 5+ years of experience in data science and machine learning 5+ years in a technical leadership or team lead capacity Proven track record of leading ML projects from research to production deployment Demonstrated ability to collaborate with cross functional teams and communicate technical concepts to non technical stakeholders Ability to present and work with senior stakeholders in a business, communicate risks/opportunities, and translate business problems into technical objectives Strong verbal and written communication skills, and ability to keep track of multiple projects, and distill key details for regular program management. Proven experience utilizing AI technologies to enhance decision making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points Deep expertise in cybersecurity, including experience in threat intelligence, malware analysis, or security operations Experience with agentic AI systems, LLMs, or autonomous security automation Track record of working with very large, sparse, high dimensional datasets in production environments Experience with advanced ML techniques including semi supervised learning, online learning, and model optimization for reducing false positives Strong knowledge of ML operations, including model monitoring, A/B testing, and production ML infrastructure Comfortable working in cloud environments (AWS) and Linux systems Proven ability to set technical vision and drive innovation in ML systems Experience hiring, building, and scaling high performing data science teams Strategic mindset with ability to balance research exploration with pragmatic business outcomes Additional Qualifications Published research, patents, or contributions to the ML or security communities Benefits of Working at CrowdStrike Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay offs, return from lay off, terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world's leading businesses into the headlines could not be solved with existing malware based defenses. Founder George Kurtz realized that a brand new approach was needed - one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There's much more to the story of how Falcon has redefined endpoint protection but there's only one thing to remember about CrowdStrike: We stop breaches.
Aug 19, 2026
Full time
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role CrowdStrike's Data Science team mis seeking a Sr. Manager to lead a team of data scientists at the intersection of Machine Learning, Large Language Models, and Cybersecurity/reverse engineering. This is a leadership role where you will help the team manager business demand/needs, translate them to technical objectives, gain stakeholder buy in, and help drive the technical approaches and provide technical feedback and guidance to junior and experienced team members. As a technical leader you will support you team in identifying high-value problems in the short, mid, and long term, obtain stakeholder buy in, and translate problems in the business into actionable research objectives. You'll collaborate and work with all aspects of ML and cybersecurity, across a large enterprise and complex data problems in size (trillions of events a day), asperity, and the dynamic nature of an active adversary that adapts to our advances in the field. This role is a chance to work in impactful outcomes that improve people's security and safety, while also growing in depth and breadth. From assemble, lifting, decompilation to optimal control and continuous optimization, every problem in the spectrum of computer science and related disciplines occurs in tackling the problems CrowdStrike deals with. An excellent candidate will have a intrinsic desire to learn and leverage tools across these domains, invent new tools to fill the gaps in what we need, and a desire to increase their leverage by enabling a team to perform these critical research objectives. What You'll Do Lead and mentor a team of data scientists, providing technical guidance, career development, and performance management Work with senior leadership to refine/define priorities, identify risks/gaps, support staff and budget planning, and disseminate key milestones to the business leaders. Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems Stay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoption Collaborate with cross-functional teams including security research, engineering, and product to align ML capabilities with business objectives Partner with security domain experts to identify high-impact opportunities where ML can enhance threat detection and response Communicate complex technical concepts and ML insights to stakeholders across the organization Guide the development of advanced models for malware detection, behavioral threat analysis, and AI-driven security automation Drive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communities Contribute to hands on technical work when needed, maintaining deep expertise in ML systems and security applications What You'll Need Advanced degree (Master's or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor's degree with equivalent experience 5+ years of experience in data science and machine learning 5+ years in a technical leadership or team lead capacity Proven track record of leading ML projects from research to production deployment Demonstrated ability to collaborate with cross functional teams and communicate technical concepts to non technical stakeholders Ability to present and work with senior stakeholders in a business, communicate risks/opportunities, and translate business problems into technical objectives Strong verbal and written communication skills, and ability to keep track of multiple projects, and distill key details for regular program management. Proven experience utilizing AI technologies to enhance decision making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points Deep expertise in cybersecurity, including experience in threat intelligence, malware analysis, or security operations Experience with agentic AI systems, LLMs, or autonomous security automation Track record of working with very large, sparse, high dimensional datasets in production environments Experience with advanced ML techniques including semi supervised learning, online learning, and model optimization for reducing false positives Strong knowledge of ML operations, including model monitoring, A/B testing, and production ML infrastructure Comfortable working in cloud environments (AWS) and Linux systems Proven ability to set technical vision and drive innovation in ML systems Experience hiring, building, and scaling high performing data science teams Strategic mindset with ability to balance research exploration with pragmatic business outcomes Additional Qualifications Published research, patents, or contributions to the ML or security communities Benefits of Working at CrowdStrike Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay offs, return from lay off, terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world's leading businesses into the headlines could not be solved with existing malware based defenses. Founder George Kurtz realized that a brand new approach was needed - one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There's much more to the story of how Falcon has redefined endpoint protection but there's only one thing to remember about CrowdStrike: We stop breaches.
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby releasing the unrivalled power of biology for the benefit of humanity. The vision of GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavours. Job Summary We are building a joint experimental computational team focussed on building, training and validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data they generate to train and validate the multi-modal biological models they build. In this role you will: i) perform experimental genome engineering work to generate genetic variation at scale and/or ii) design and implement scalable biological measurement over one or more modalities. Where appropriate the work will leverage the substantial automation capability within the institute. Your work will be performed under the guidance of Jason Chin. You will be part of a single team composed of AI scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface of computational and wetlab biology. Our team ethos is based on mutual learning, strong peer-to-peer support, and a deep sense of scientific curiosity and ambition. This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. You will be leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, AI, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Key Responsibilities: Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. In particular, the successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains at scale. Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high-quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection.Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Relevant, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial genomics, cell biology, genomics, robotics and automation, metabolomics, and proteomics.). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high-impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. Our Benefits: Annual Bonus Travel allowance Enhanced sick pay Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Aug 17, 2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Welcome to the Generative Biology Institute: Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby releasing the unrivalled power of biology for the benefit of humanity. The vision of GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavours. Job Summary We are building a joint experimental computational team focussed on building, training and validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data they generate to train and validate the multi-modal biological models they build. In this role you will: i) perform experimental genome engineering work to generate genetic variation at scale and/or ii) design and implement scalable biological measurement over one or more modalities. Where appropriate the work will leverage the substantial automation capability within the institute. Your work will be performed under the guidance of Jason Chin. You will be part of a single team composed of AI scientists and synthetic biologists working together. We are looking for colleagues with deep expertise in genome engineering and/or quantitative phenotyping of model bacterial species such as Escherichia coli. The role requires the ability and willingness to work as part of a cross-disciplinary team at the interface of computational and wetlab biology. Our team ethos is based on mutual learning, strong peer-to-peer support, and a deep sense of scientific curiosity and ambition. This is your opportunity to be part of cutting-edge research within an institute dedicated to engineering biology at an unprecedented scale. You will be leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high-impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, AI, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Key Responsibilities: Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. In particular, the successful applicant will utilise genome engineering strategies in the lab to produce a diversity of microbial strains as the source of training and validation data in a high throughput fashion. In addition, they will also design and prototype a range of experimental measurement strategies for characterising these strains at scale. Collaborate with other GBI scientists from other groups expert in synthetic biology, automation, bioinformatics, -omics and machine learning, and AI scientists from the AIR institute, as required. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high-quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting-edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection.Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Relevant, Skills and Experience: Completed a PhD in a relevant field (e.g., synthetic biology, computational biology and AI, microbial genomics, cell biology, genomics, robotics and automation, metabolomics, and proteomics.). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high-impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. Our Benefits: Annual Bonus Travel allowance Enhanced sick pay Pension - Employer contribution 7.5%, minimum employee contribution 5% Life Assurance Income Protection Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan Employee discounts Electric car scheme Nursery Salary Sacrifice scheme Cycle to Work Scheme Family Planning Neurodiversity support including advise and assessments Coaching & Therapy services Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Head of IT Department: Information Technology Reporting to: CEO/ COO Direct Reports: IT Manager and IT Support Technicians Location: Manchester / UKMC & Unibridge Group locations Employment Type: Full-time Proposed Start Date: ASAP Working Pattern: 9am to 5pm / Monday to Friday About UKMC and Unibridge Group UK Management College (UKMC) and the wider Unibridge Group are committed to providing a high-quality educational experience supported by effective, reliable, secure and innovative technology. The Head of IT will provide strategic leadership and operational oversight of the Group's IT function, ensuring that technology infrastructure, systems, cybersecurity, IT service delivery, digital transformation and technology-enabled innovation meet the current and future needs of the organisation. The successful candidate will lead the IT team, manage the ITR Manager and IT Support Technicians, and work closely with the Group CEO, CEO UKMC, COO, Executive Leadership Team and other departments to ensure that IT is aligned with organisational priorities and supports the continued growth and development of UKMC and Unibridge Group. The Role The Head of IT will be responsible for the overall leadership, management and performance of the IT function across UKMC and Unibridge Group. The role combines strategic IT leadership, infrastructure management, cybersecurity, IT service management, systems development, AI automation, digital transformation, vendor management, staff technology training and team leadership. The postholder will establish and maintain a robust, secure and user-focused IT environment, ensuring that staff and students have access to the technology, systems and support required to operate effectively. The Head of IT will also provide expert advice to the Group CEO, CEO UKMC, COO, Executive Leadership Team and senior management on IT strategy, technology investment, cybersecurity, AI adoption, digital transformation, risk and business continuity. Key Responsibilities IT Strategy and Leadership Develop and implement a comprehensive IT strategy aligned with the strategic objectives of UKMC and Unibridge Group. Provide strategic advice and recommendations to the Group CEO, CEO UKMC, COO and senior leadership team on technology, infrastructure, cybersecurity, AI and digital transformation. Develop and maintain an IT roadmap covering infrastructure, systems, applications, cybersecurity, automation, AI and future technology requirements. Identify opportunities for technology to improve operational efficiency, staff productivity and the student experience. Lead the development of IT policies, procedures, standards and governance frameworks. Ensure that IT services are scalable and capable of supporting organisational growth. Establish appropriate IT performance indicators and regularly report on performance, risks and service improvements. Identify emerging technologies and assess their potential value to UKMC and Unibridge Group. IT Team Management Provide effective leadership and management of the IT department. Directly manage and support the ITR Manager and all IT Support Technicians. Define clear responsibilities, objectives and performance expectations for the IT team. Conduct regular one-to-one meetings, performance reviews and development discussions. Identify training and professional development requirements within the IT team. Ensure appropriate staffing levels and resource allocation across IT services. Promote a proactive, customer-focused and professional IT service culture. Manage workload, priorities and escalation processes across the IT function. Staff IT Training and Cybersecurity Awareness Develop and implement an organisation-wide IT training and awareness programme for staff. Ensure staff receive appropriate training when new IT systems, software, platforms or processes are introduced. Develop regular cybersecurity awareness training covering areas such as phishing, password security, multi-factor authentication, social engineering, data protection and safe use of technology. Conduct or coordinate regular cybersecurity awareness campaigns and simulated phishing exercises where appropriate. Ensure staff understand their responsibilities for protecting organisational, staff and student information. Monitor staff participation in mandatory IT and cybersecurity training and report completion levels to senior management. Develop guidance and training materials to support staff in using IT systems securely and effectively. Promote a culture of security awareness, responsible technology use and continuous learning across the organisation. IT Infrastructure and Systems Oversee the organisation's IT infrastructure, including networks, servers, endpoints, hardware, software and cloud services. Ensure systems are reliable, secure, appropriately maintained and fit for purpose. Oversee the installation, configuration, maintenance and replacement of IT hardware and software. Ensure appropriate monitoring of infrastructure and systems performance. Develop and maintain effective backup, disaster recovery and business continuity arrangements. Oversee IT asset management and lifecycle planning. Ensure IT systems are appropriately documented and maintained. Review and improve infrastructure to support multiple campuses, offices and operational locations. Cybersecurity and Information Security Lead the organisation's cybersecurity strategy and ensure appropriate security controls are implemented. Identify, assess and manage IT security risks and vulnerabilities. Ensure appropriate protection of organisational, staff and student information. Establish and maintain cybersecurity policies, procedures and controls. Oversee security monitoring, access controls, endpoint protection, authentication and other relevant security measures. Ensure appropriate response procedures are in place for cybersecurity incidents. Lead or coordinate investigations into significant IT security incidents. Promote cybersecurity awareness and good security practices across the organisation. Ensure IT practices support applicable data protection and information security requirements. Work with HR and senior management to ensure cybersecurity training and awareness requirements are incorporated into staff development and onboarding processes. IT Service Management Ensure the IT department provides an efficient, responsive and professional service to staff and students. Establish appropriate service standards, escalation procedures and response times. Monitor IT support performance, service levels and recurring issues. Identify opportunities to reduce recurring incidents and improve first-time resolution. Ensure appropriate ticketing and IT service management processes are followed. Develop a proactive approach to preventative maintenance and service improvement. Ensure major IT incidents are appropriately managed, communicated and escalated. AI, Automation and Digital Transformation Develop and implement an AI and automation strategy aligned with the wider business and IT strategy. Identify opportunities to use artificial intelligence, automation and emerging technologies to improve operational efficiency, productivity and service delivery. Assess business processes that could benefit from workflow automation, AI-enabled tools or system integration. Lead the evaluation, implementation and governance of appropriate AI technologies across UKMC and Unibridge Group. Establish appropriate controls for the responsible and secure use of AI, including data protection, access controls, confidentiality and information security. Work with departments across the organisation to identify practical opportunities for AI adoption and process automation. Support staff in understanding how AI and automation can be used effectively and responsibly within their roles. Develop guidance, training and awareness initiatives to support appropriate use of AI technologies. Monitor developments in AI and emerging technologies and advise senior management on opportunities, risks and potential investment. Lead technology-enabled transformation programmes designed to improve organisational processes, reduce manual administration and enhance the user experience. Ensure AI and automation projects are appropriately tested, documented and supported by change management and staff training. Measure the impact and benefits of AI, automation and digital transformation initiatives. Systems and Digital Transformation Evaluate existing systems and identify opportunities for improvement and automation. Lead or support the implementation of new technology platforms and IT systems. Ensure technology projects are appropriately planned, resourced and delivered. Work with internal stakeholders to understand business and operational requirements. Assess the impact of new technologies on existing systems and processes. Support digital transformation initiatives across UKMC and Unibridge Group. Ensure appropriate testing . click apply for full job details
Aug 14, 2026
Full time
Head of IT Department: Information Technology Reporting to: CEO/ COO Direct Reports: IT Manager and IT Support Technicians Location: Manchester / UKMC & Unibridge Group locations Employment Type: Full-time Proposed Start Date: ASAP Working Pattern: 9am to 5pm / Monday to Friday About UKMC and Unibridge Group UK Management College (UKMC) and the wider Unibridge Group are committed to providing a high-quality educational experience supported by effective, reliable, secure and innovative technology. The Head of IT will provide strategic leadership and operational oversight of the Group's IT function, ensuring that technology infrastructure, systems, cybersecurity, IT service delivery, digital transformation and technology-enabled innovation meet the current and future needs of the organisation. The successful candidate will lead the IT team, manage the ITR Manager and IT Support Technicians, and work closely with the Group CEO, CEO UKMC, COO, Executive Leadership Team and other departments to ensure that IT is aligned with organisational priorities and supports the continued growth and development of UKMC and Unibridge Group. The Role The Head of IT will be responsible for the overall leadership, management and performance of the IT function across UKMC and Unibridge Group. The role combines strategic IT leadership, infrastructure management, cybersecurity, IT service management, systems development, AI automation, digital transformation, vendor management, staff technology training and team leadership. The postholder will establish and maintain a robust, secure and user-focused IT environment, ensuring that staff and students have access to the technology, systems and support required to operate effectively. The Head of IT will also provide expert advice to the Group CEO, CEO UKMC, COO, Executive Leadership Team and senior management on IT strategy, technology investment, cybersecurity, AI adoption, digital transformation, risk and business continuity. Key Responsibilities IT Strategy and Leadership Develop and implement a comprehensive IT strategy aligned with the strategic objectives of UKMC and Unibridge Group. Provide strategic advice and recommendations to the Group CEO, CEO UKMC, COO and senior leadership team on technology, infrastructure, cybersecurity, AI and digital transformation. Develop and maintain an IT roadmap covering infrastructure, systems, applications, cybersecurity, automation, AI and future technology requirements. Identify opportunities for technology to improve operational efficiency, staff productivity and the student experience. Lead the development of IT policies, procedures, standards and governance frameworks. Ensure that IT services are scalable and capable of supporting organisational growth. Establish appropriate IT performance indicators and regularly report on performance, risks and service improvements. Identify emerging technologies and assess their potential value to UKMC and Unibridge Group. IT Team Management Provide effective leadership and management of the IT department. Directly manage and support the ITR Manager and all IT Support Technicians. Define clear responsibilities, objectives and performance expectations for the IT team. Conduct regular one-to-one meetings, performance reviews and development discussions. Identify training and professional development requirements within the IT team. Ensure appropriate staffing levels and resource allocation across IT services. Promote a proactive, customer-focused and professional IT service culture. Manage workload, priorities and escalation processes across the IT function. Staff IT Training and Cybersecurity Awareness Develop and implement an organisation-wide IT training and awareness programme for staff. Ensure staff receive appropriate training when new IT systems, software, platforms or processes are introduced. Develop regular cybersecurity awareness training covering areas such as phishing, password security, multi-factor authentication, social engineering, data protection and safe use of technology. Conduct or coordinate regular cybersecurity awareness campaigns and simulated phishing exercises where appropriate. Ensure staff understand their responsibilities for protecting organisational, staff and student information. Monitor staff participation in mandatory IT and cybersecurity training and report completion levels to senior management. Develop guidance and training materials to support staff in using IT systems securely and effectively. Promote a culture of security awareness, responsible technology use and continuous learning across the organisation. IT Infrastructure and Systems Oversee the organisation's IT infrastructure, including networks, servers, endpoints, hardware, software and cloud services. Ensure systems are reliable, secure, appropriately maintained and fit for purpose. Oversee the installation, configuration, maintenance and replacement of IT hardware and software. Ensure appropriate monitoring of infrastructure and systems performance. Develop and maintain effective backup, disaster recovery and business continuity arrangements. Oversee IT asset management and lifecycle planning. Ensure IT systems are appropriately documented and maintained. Review and improve infrastructure to support multiple campuses, offices and operational locations. Cybersecurity and Information Security Lead the organisation's cybersecurity strategy and ensure appropriate security controls are implemented. Identify, assess and manage IT security risks and vulnerabilities. Ensure appropriate protection of organisational, staff and student information. Establish and maintain cybersecurity policies, procedures and controls. Oversee security monitoring, access controls, endpoint protection, authentication and other relevant security measures. Ensure appropriate response procedures are in place for cybersecurity incidents. Lead or coordinate investigations into significant IT security incidents. Promote cybersecurity awareness and good security practices across the organisation. Ensure IT practices support applicable data protection and information security requirements. Work with HR and senior management to ensure cybersecurity training and awareness requirements are incorporated into staff development and onboarding processes. IT Service Management Ensure the IT department provides an efficient, responsive and professional service to staff and students. Establish appropriate service standards, escalation procedures and response times. Monitor IT support performance, service levels and recurring issues. Identify opportunities to reduce recurring incidents and improve first-time resolution. Ensure appropriate ticketing and IT service management processes are followed. Develop a proactive approach to preventative maintenance and service improvement. Ensure major IT incidents are appropriately managed, communicated and escalated. AI, Automation and Digital Transformation Develop and implement an AI and automation strategy aligned with the wider business and IT strategy. Identify opportunities to use artificial intelligence, automation and emerging technologies to improve operational efficiency, productivity and service delivery. Assess business processes that could benefit from workflow automation, AI-enabled tools or system integration. Lead the evaluation, implementation and governance of appropriate AI technologies across UKMC and Unibridge Group. Establish appropriate controls for the responsible and secure use of AI, including data protection, access controls, confidentiality and information security. Work with departments across the organisation to identify practical opportunities for AI adoption and process automation. Support staff in understanding how AI and automation can be used effectively and responsibly within their roles. Develop guidance, training and awareness initiatives to support appropriate use of AI technologies. Monitor developments in AI and emerging technologies and advise senior management on opportunities, risks and potential investment. Lead technology-enabled transformation programmes designed to improve organisational processes, reduce manual administration and enhance the user experience. Ensure AI and automation projects are appropriately tested, documented and supported by change management and staff training. Measure the impact and benefits of AI, automation and digital transformation initiatives. Systems and Digital Transformation Evaluate existing systems and identify opportunities for improvement and automation. Lead or support the implementation of new technology platforms and IT systems. Ensure technology projects are appropriately planned, resourced and delivered. Work with internal stakeholders to understand business and operational requirements. Assess the impact of new technologies on existing systems and processes. Support digital transformation initiatives across UKMC and Unibridge Group. Ensure appropriate testing . click apply for full job details
At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Anaplan's Product Security team is responsible for securing a platform that large enterprises rely on for real business decisions-across finance, supply chain, workforce, and sales planning. As Senior Manager, you will own the day to day leadership of a team that spans application security, infrastructure and cloud security, offensive security, and vulnerability management. You report to the Director of Product Security and are accountable for turning strategy into consistent, measurable security outcomes across the product portfolio. Role Summary This is a people leadership role owning Anaplan's Product Security team across AppSec, InfraSec, OffSec, and vulnerability management. The Senior Manager reports to the Director of Product Security and is responsible for team output, prioritisation, operating rhythm, and engineering partnerships. The role requires genuine technical depth-this is not a project management seat-combined with the management maturity to build and scale a high performing team. Your Impact Lead and develop the Product Security team: hire, coach, and retain engineers across AppSec, InfraSec, OffSec, and vulnerability management. Set clear expectations and build a team that ships security improvements, not just findings. Own the operating rhythm: run sprint planning, triage, and retrospectives. Calibrate work across BAU vulnerability management, strategic projects, and longer term capability building. Drive secure SDLC integration: ensure threat modelling, design reviews, and security tooling are embedded into how engineering teams build-not bolted on after the fact. Prioritise based on real risk: translate scanner output, pen test findings, and threat intelligence into prioritised remediation plans that engineering teams actually execute. Scale security through automation and self service: invest in tooling, guardrails, and developer facing documentation that reduce friction and increase coverage without linear headcount growth. Partner with engineering and platform leadership: represent Product Security in cross functional planning, influence roadmaps, and ensure security trade offs are understood at the right level. Manage security incidents: coordinate response for product security incidents, run post mortems, and ensure findings translate into durable fixes. Report on programme health: provide clear, honest reporting to the Director and broader leadership on risk posture, coverage gaps, and team capacity. Your Qualifications Demonstrated experience leading a product or application security team, including hiring, coaching, and performance management. Broad technical grounding across at least two of: application security, cloud/infrastructure security, offensive security, and vulnerability management. Hands on history in secure SDLC practices-threat modelling, design reviews, security tooling in CI/CD-enough to credibly challenge your team's work. Ability to prioritise ruthlessly: separate high impact risk reduction from low value compliance theatre. Experience building cross functional partnerships with engineering, product, and platform teams-influencing without owning the delivery backlog. Clear, direct communication-able to present risk, trade offs, and programme status to senior leadership without hiding behind jargon. Comfort operating in a product led, engineering heavy organisation where security earns its seat through credibility, not authority. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Aug 06, 2026
Full time
At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Anaplan's Product Security team is responsible for securing a platform that large enterprises rely on for real business decisions-across finance, supply chain, workforce, and sales planning. As Senior Manager, you will own the day to day leadership of a team that spans application security, infrastructure and cloud security, offensive security, and vulnerability management. You report to the Director of Product Security and are accountable for turning strategy into consistent, measurable security outcomes across the product portfolio. Role Summary This is a people leadership role owning Anaplan's Product Security team across AppSec, InfraSec, OffSec, and vulnerability management. The Senior Manager reports to the Director of Product Security and is responsible for team output, prioritisation, operating rhythm, and engineering partnerships. The role requires genuine technical depth-this is not a project management seat-combined with the management maturity to build and scale a high performing team. Your Impact Lead and develop the Product Security team: hire, coach, and retain engineers across AppSec, InfraSec, OffSec, and vulnerability management. Set clear expectations and build a team that ships security improvements, not just findings. Own the operating rhythm: run sprint planning, triage, and retrospectives. Calibrate work across BAU vulnerability management, strategic projects, and longer term capability building. Drive secure SDLC integration: ensure threat modelling, design reviews, and security tooling are embedded into how engineering teams build-not bolted on after the fact. Prioritise based on real risk: translate scanner output, pen test findings, and threat intelligence into prioritised remediation plans that engineering teams actually execute. Scale security through automation and self service: invest in tooling, guardrails, and developer facing documentation that reduce friction and increase coverage without linear headcount growth. Partner with engineering and platform leadership: represent Product Security in cross functional planning, influence roadmaps, and ensure security trade offs are understood at the right level. Manage security incidents: coordinate response for product security incidents, run post mortems, and ensure findings translate into durable fixes. Report on programme health: provide clear, honest reporting to the Director and broader leadership on risk posture, coverage gaps, and team capacity. Your Qualifications Demonstrated experience leading a product or application security team, including hiring, coaching, and performance management. Broad technical grounding across at least two of: application security, cloud/infrastructure security, offensive security, and vulnerability management. Hands on history in secure SDLC practices-threat modelling, design reviews, security tooling in CI/CD-enough to credibly challenge your team's work. Ability to prioritise ruthlessly: separate high impact risk reduction from low value compliance theatre. Experience building cross functional partnerships with engineering, product, and platform teams-influencing without owning the delivery backlog. Clear, direct communication-able to present risk, trade offs, and programme status to senior leadership without hiding behind jargon. Comfort operating in a product led, engineering heavy organisation where security earns its seat through credibility, not authority. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Anaplan's Product Security team is responsible for securing a platform that large enterprises rely on for real business decisions-across finance, supply chain, workforce, and sales planning. As Senior Manager, you will own the day to day leadership of a team that spans application security, infrastructure and cloud security, offensive security, and vulnerability management. You report to the Director of Product Security and are accountable for turning strategy into consistent, measurable security outcomes across the product portfolio. Role Summary This is a people leadership role owning Anaplan's Product Security team across AppSec, InfraSec, OffSec, and vulnerability management. The Senior Manager reports to the Director of Product Security and is responsible for team output, prioritisation, operating rhythm, and engineering partnerships. The role requires genuine technical depth-this is not a project management seat-combined with the management maturity to build and scale a high performing team. Your Impact Lead and develop the Product Security team: hire, coach, and retain engineers across AppSec, InfraSec, OffSec, and vulnerability management. Set clear expectations and build a team that ships security improvements, not just findings. Own the operating rhythm: run sprint planning, triage, and retrospectives. Calibrate work across BAU vulnerability management, strategic projects, and longer term capability building. Drive secure SDLC integration: ensure threat modelling, design reviews, and security tooling are embedded into how engineering teams build-not bolted on after the fact. Prioritise based on real risk: translate scanner output, pen test findings, and threat intelligence into prioritised remediation plans that engineering teams actually execute. Scale security through automation and self service: invest in tooling, guardrails, and developer facing documentation that reduce friction and increase coverage without linear headcount growth. Partner with engineering and platform leadership: represent Product Security in cross functional planning, influence roadmaps, and ensure security trade offs are understood at the right level. Manage security incidents: coordinate response for product security incidents, run post mortems, and ensure findings translate into durable fixes. Report on programme health: provide clear, honest reporting to the Director and broader leadership on risk posture, coverage gaps, and team capacity. Your Qualifications Demonstrated experience leading a product or application security team, including hiring, coaching, and performance management. Broad technical grounding across at least two of: application security, cloud/infrastructure security, offensive security, and vulnerability management. Hands on history in secure SDLC practices-threat modelling, design reviews, security tooling in CI/CD-enough to credibly challenge your team's work. Ability to prioritise ruthlessly: separate high impact risk reduction from low value compliance theatre. Experience building cross functional partnerships with engineering, product, and platform teams-influencing without owning the delivery backlog. Clear, direct communication-able to present risk, trade offs, and programme status to senior leadership without hiding behind jargon. Comfort operating in a product led, engineering heavy organisation where security earns its seat through credibility, not authority. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Aug 06, 2026
Full time
At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Anaplan's Product Security team is responsible for securing a platform that large enterprises rely on for real business decisions-across finance, supply chain, workforce, and sales planning. As Senior Manager, you will own the day to day leadership of a team that spans application security, infrastructure and cloud security, offensive security, and vulnerability management. You report to the Director of Product Security and are accountable for turning strategy into consistent, measurable security outcomes across the product portfolio. Role Summary This is a people leadership role owning Anaplan's Product Security team across AppSec, InfraSec, OffSec, and vulnerability management. The Senior Manager reports to the Director of Product Security and is responsible for team output, prioritisation, operating rhythm, and engineering partnerships. The role requires genuine technical depth-this is not a project management seat-combined with the management maturity to build and scale a high performing team. Your Impact Lead and develop the Product Security team: hire, coach, and retain engineers across AppSec, InfraSec, OffSec, and vulnerability management. Set clear expectations and build a team that ships security improvements, not just findings. Own the operating rhythm: run sprint planning, triage, and retrospectives. Calibrate work across BAU vulnerability management, strategic projects, and longer term capability building. Drive secure SDLC integration: ensure threat modelling, design reviews, and security tooling are embedded into how engineering teams build-not bolted on after the fact. Prioritise based on real risk: translate scanner output, pen test findings, and threat intelligence into prioritised remediation plans that engineering teams actually execute. Scale security through automation and self service: invest in tooling, guardrails, and developer facing documentation that reduce friction and increase coverage without linear headcount growth. Partner with engineering and platform leadership: represent Product Security in cross functional planning, influence roadmaps, and ensure security trade offs are understood at the right level. Manage security incidents: coordinate response for product security incidents, run post mortems, and ensure findings translate into durable fixes. Report on programme health: provide clear, honest reporting to the Director and broader leadership on risk posture, coverage gaps, and team capacity. Your Qualifications Demonstrated experience leading a product or application security team, including hiring, coaching, and performance management. Broad technical grounding across at least two of: application security, cloud/infrastructure security, offensive security, and vulnerability management. Hands on history in secure SDLC practices-threat modelling, design reviews, security tooling in CI/CD-enough to credibly challenge your team's work. Ability to prioritise ruthlessly: separate high impact risk reduction from low value compliance theatre. Experience building cross functional partnerships with engineering, product, and platform teams-influencing without owning the delivery backlog. Clear, direct communication-able to present risk, trade offs, and programme status to senior leadership without hiding behind jargon. Comfort operating in a product led, engineering heavy organisation where security earns its seat through credibility, not authority. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
What You'll Do Avalara is accelerating delivery of AI-enabled capabilities across our compliance platform to improve customer experience, increase engineering velocity, and scale global operations efficiently. As a Technical Lead, you will join a globally distributed team to architect distributed systems and embed applied AI into our core products. You will sit within the E-invoicing and Live Reporting (ELR) team and reports to a Director of Engineering. You will elevate platform reliability and raise engineering standards across the team. You'll take ownership of key platform areas, make bold technical decisions, and shape how work gets done by embedding AI into development workflows. If you are passionate about pushing the limits of innovation and creating industry-leading products, you will find a culture of Bar Raisers here who share your drive to build the future of compliance. This role is fully remote. What Your Responsibilities Will Be Architect and deliver scalable, secure backend and frontend systems that support our global compliance platform. Lead technical design discussions and influence architectural decisions, collaborating cross-functionally to solve complex technical challenges. Increase development efficiency by embedding AI-assisted coding, testing, documentation, and architectural exploration into daily workflows. Deliver AI-enabled product features that enhance automation, data processing, and customer-facing intelligence. Improve deployment frequency, automated test coverage, and code quality through CI/CD and engineering best practices. Reduce production incidents and improve system observability through thoughtful architecture and proactive monitoring. Raise team performance standards through active mentoring, peer feedback, and maintaining high standards of accountability. What You'll Need to be Successful B.S. in Computer Science or Engineering with 12+ years of professional software engineering experience. Hands-on experience building scalable APIs and services with Java or .NET (C#) and maintainable frontend applications with React (TypeScript). Experience with distributed systems, RESTful/GraphQL APIs, system performance trade-offs, load balancing, and high availability engineering. Experience with AWS (Azure or GCP welcome), Infrastructure as Code (Terraform), CI/CD pipelines (e.g., GitLab), Docker, and Kubernetes. Experience with relational and NoSQL databases and automated testing strategies. Demonstrated, measurable impact from hands-on AI usage that improved business or engineering outcomes (casual AI usage is insufficient). Experience with LLMs and AI architectures, with experience designing and implementing agentic AI systems using frameworks like LangGraph, Semantic Kernel, AutoGen, or CrewAI. Deep knowledge of Retrieval-Augmented Generation (RAG), Vector databases, prompt engineering best practices, and model selection trade-offs. Strong understanding of AI security risks (prompt injection, data leakage) and data privacy/compliance requirements (e.g., GDPR). Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You'll bring experience using AI and AI-related technologies, ready to thrive here. You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We're defining the relationship between tax and tech. We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world. We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too. We're An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
Aug 03, 2026
Full time
What You'll Do Avalara is accelerating delivery of AI-enabled capabilities across our compliance platform to improve customer experience, increase engineering velocity, and scale global operations efficiently. As a Technical Lead, you will join a globally distributed team to architect distributed systems and embed applied AI into our core products. You will sit within the E-invoicing and Live Reporting (ELR) team and reports to a Director of Engineering. You will elevate platform reliability and raise engineering standards across the team. You'll take ownership of key platform areas, make bold technical decisions, and shape how work gets done by embedding AI into development workflows. If you are passionate about pushing the limits of innovation and creating industry-leading products, you will find a culture of Bar Raisers here who share your drive to build the future of compliance. This role is fully remote. What Your Responsibilities Will Be Architect and deliver scalable, secure backend and frontend systems that support our global compliance platform. Lead technical design discussions and influence architectural decisions, collaborating cross-functionally to solve complex technical challenges. Increase development efficiency by embedding AI-assisted coding, testing, documentation, and architectural exploration into daily workflows. Deliver AI-enabled product features that enhance automation, data processing, and customer-facing intelligence. Improve deployment frequency, automated test coverage, and code quality through CI/CD and engineering best practices. Reduce production incidents and improve system observability through thoughtful architecture and proactive monitoring. Raise team performance standards through active mentoring, peer feedback, and maintaining high standards of accountability. What You'll Need to be Successful B.S. in Computer Science or Engineering with 12+ years of professional software engineering experience. Hands-on experience building scalable APIs and services with Java or .NET (C#) and maintainable frontend applications with React (TypeScript). Experience with distributed systems, RESTful/GraphQL APIs, system performance trade-offs, load balancing, and high availability engineering. Experience with AWS (Azure or GCP welcome), Infrastructure as Code (Terraform), CI/CD pipelines (e.g., GitLab), Docker, and Kubernetes. Experience with relational and NoSQL databases and automated testing strategies. Demonstrated, measurable impact from hands-on AI usage that improved business or engineering outcomes (casual AI usage is insufficient). Experience with LLMs and AI architectures, with experience designing and implementing agentic AI systems using frameworks like LangGraph, Semantic Kernel, AutoGen, or CrewAI. Deep knowledge of Retrieval-Augmented Generation (RAG), Vector databases, prompt engineering best practices, and model selection trade-offs. Strong understanding of AI security risks (prompt injection, data leakage) and data privacy/compliance requirements (e.g., GDPR). Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You'll bring experience using AI and AI-related technologies, ready to thrive here. You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We're defining the relationship between tax and tech. We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world. We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too. We're An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
Head of Engineering Department: Digital & IT Employment Type: Permanent - Full Time Location: London Compensation: £52,000 - £64,000 / year Description techUK Overview: techUK is the trade association which brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve. With over 1100 members (the majority of which are SMEs) across the UK, techUK creates a network for innovation and collaboration across business, government and stakeholders to provide a better future for people, society, the economy and the planet. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Role purpose: The Head of Engineering is responsible for designing, building, and maintaining techUK's core digital systems and engineering capability. This is a hands on technical leadership role that combines software development, platform architecture, and business systems integration. The role will lead the development of scalable systems across the Microsoft ecosystem, including Azure, Dynamics 365, and Power BI, while introducing AI driven workflows and automation to improve organisational efficiency. Working closely with teams across the organisation, the Head of Engineering will translate business needs into practical technical solutions and ensure systems are well integrated across the organisation's digital environment. The organisation's website operates on a headless architecture using Contentful CMS, with the front end hosted on Vercel, and integrates with CRM, analytics, and internal systems through API driven services. Operating within a small engineering team, the Head of Engineering will remain actively involved in development, prototyping, and technical implementation while shaping the organisation's engineering capability and digital architecture. This role reports into the Chief Technology and Transformation Officer and will have 1 2 direct reports. Key Responsibilities Platform Development & Systems Architecture - Design, build, and maintain techUK's core digital systems across the Microsoft ecosystem, including Azure hosted services, integrations with Dynamics 365, and supporting data infrastructure. Website & Digital Platform Engineering - Provide technical leadership for the organisation's digital platforms, including the headless website architecture built on Contentful and hosted via Vercel, ensuring reliable integration with CRM, analytics, and other internal systems. Data Architecture & Business Intelligence - Develop and maintain reliable data flows between organisational systems, supporting accurate reporting and insight generation through platforms such as Power BI and helping establish a clear single source of truth for organisational data. Systems Integration & APIs - Design and implement API driven integrations between core systems including CRM, website platforms, marketing tools, analytics environments, and internal databases, ensuring systems operate as a connected digital ecosystem. AI, Automation & Rapid Prototyping - Develop and implement AI enabled workflows and automation that improve operational efficiency and unlock organisational insight. Rapidly prototype new tools and workflows to test ideas and deliver practical solutions across the business. Engineering Leadership - Establish and maintain best practice in software development, platform architecture, security, and DevOps practices while providing hands on engineering leadership within a small team. Skills, Knowledge and Expertise Competencies Technical Leadership - Ability to design robust digital systems and guide engineering approaches while remaining hands on in development. Systems Thinking - Strong ability to understand complex technical environments and design integrations that improve organisational capability. Problem Solving - Ability to diagnose operational challenges and translate them into practical technical solutions. Communication - Ability to explain technical concepts clearly and work effectively with non technical stakeholders. Innovation & Curiosity - Interest in emerging technologies such as AI, automation, and data platforms, and the ability to apply them practically. Delivery & Execution - Comfortable moving quickly from concept to working solutions through prototyping, development, and iterative improvement. Essential Knowledge and Experience Strong hands on experience in software development and platform engineering. Experience working within the Microsoft technology ecosystem, including: Azure cloud services Dynamics 365 Power BI Microsoft Graph APIs Azure Functions or serverless architectures Power Platform or related automation tools Experience building API driven integrations between enterprise platforms including CRM systems, web platforms, marketing systems, and analytics environments. Strong programming capability in languages such as Python, JavaScript/TypeScript, or C#. Experience developing integrations, automation pipelines, and backend services that support operational workflows. Experience working with modern web architectures, ideally including headless CMS platforms. Experience operating in small technical teams where individuals remain hands on in engineering work. Line management experience is essential. Ability to translate business requirements into technical solutions and deliver working systems. Desired Knowledge and Experience Experience working with Contentful CMS and Vercel hosting environments. Experience implementing AI driven tools, automation workflows, or LLM based systems. Experience working with data platforms, analytics environments, or business intelligence systems. Familiarity with DevOps and CI/CD practices, including version control platforms such as GitHub. Experience working in a technology sector, membership organisation, or policy focused environment. Benefits This is a full time role based out of techUK's London offices, however techUK operates a flexible working policy. This role profile is a guide to the work that is required but does not form part of any contract of employment and may change from time to time to reflect changing circumstances. The successful candidate must have permission to work in the UK prior to the commencement of employment. The salary range for this role is £52,000-£64,000 per annum based upon experience plus discretionary bonus and comprehensive benefits. To apply for this role, please click below on the 'Apply Now' button.
May 30, 2026
Full time
Head of Engineering Department: Digital & IT Employment Type: Permanent - Full Time Location: London Compensation: £52,000 - £64,000 / year Description techUK Overview: techUK is the trade association which brings together people, companies and organisations to realise the positive outcomes of what digital technology can achieve. With over 1100 members (the majority of which are SMEs) across the UK, techUK creates a network for innovation and collaboration across business, government and stakeholders to provide a better future for people, society, the economy and the planet. By providing expertise and insight, we support our members, partners and stakeholders as they prepare the UK for what comes next in a constantly changing world. Role purpose: The Head of Engineering is responsible for designing, building, and maintaining techUK's core digital systems and engineering capability. This is a hands on technical leadership role that combines software development, platform architecture, and business systems integration. The role will lead the development of scalable systems across the Microsoft ecosystem, including Azure, Dynamics 365, and Power BI, while introducing AI driven workflows and automation to improve organisational efficiency. Working closely with teams across the organisation, the Head of Engineering will translate business needs into practical technical solutions and ensure systems are well integrated across the organisation's digital environment. The organisation's website operates on a headless architecture using Contentful CMS, with the front end hosted on Vercel, and integrates with CRM, analytics, and internal systems through API driven services. Operating within a small engineering team, the Head of Engineering will remain actively involved in development, prototyping, and technical implementation while shaping the organisation's engineering capability and digital architecture. This role reports into the Chief Technology and Transformation Officer and will have 1 2 direct reports. Key Responsibilities Platform Development & Systems Architecture - Design, build, and maintain techUK's core digital systems across the Microsoft ecosystem, including Azure hosted services, integrations with Dynamics 365, and supporting data infrastructure. Website & Digital Platform Engineering - Provide technical leadership for the organisation's digital platforms, including the headless website architecture built on Contentful and hosted via Vercel, ensuring reliable integration with CRM, analytics, and other internal systems. Data Architecture & Business Intelligence - Develop and maintain reliable data flows between organisational systems, supporting accurate reporting and insight generation through platforms such as Power BI and helping establish a clear single source of truth for organisational data. Systems Integration & APIs - Design and implement API driven integrations between core systems including CRM, website platforms, marketing tools, analytics environments, and internal databases, ensuring systems operate as a connected digital ecosystem. AI, Automation & Rapid Prototyping - Develop and implement AI enabled workflows and automation that improve operational efficiency and unlock organisational insight. Rapidly prototype new tools and workflows to test ideas and deliver practical solutions across the business. Engineering Leadership - Establish and maintain best practice in software development, platform architecture, security, and DevOps practices while providing hands on engineering leadership within a small team. Skills, Knowledge and Expertise Competencies Technical Leadership - Ability to design robust digital systems and guide engineering approaches while remaining hands on in development. Systems Thinking - Strong ability to understand complex technical environments and design integrations that improve organisational capability. Problem Solving - Ability to diagnose operational challenges and translate them into practical technical solutions. Communication - Ability to explain technical concepts clearly and work effectively with non technical stakeholders. Innovation & Curiosity - Interest in emerging technologies such as AI, automation, and data platforms, and the ability to apply them practically. Delivery & Execution - Comfortable moving quickly from concept to working solutions through prototyping, development, and iterative improvement. Essential Knowledge and Experience Strong hands on experience in software development and platform engineering. Experience working within the Microsoft technology ecosystem, including: Azure cloud services Dynamics 365 Power BI Microsoft Graph APIs Azure Functions or serverless architectures Power Platform or related automation tools Experience building API driven integrations between enterprise platforms including CRM systems, web platforms, marketing systems, and analytics environments. Strong programming capability in languages such as Python, JavaScript/TypeScript, or C#. Experience developing integrations, automation pipelines, and backend services that support operational workflows. Experience working with modern web architectures, ideally including headless CMS platforms. Experience operating in small technical teams where individuals remain hands on in engineering work. Line management experience is essential. Ability to translate business requirements into technical solutions and deliver working systems. Desired Knowledge and Experience Experience working with Contentful CMS and Vercel hosting environments. Experience implementing AI driven tools, automation workflows, or LLM based systems. Experience working with data platforms, analytics environments, or business intelligence systems. Familiarity with DevOps and CI/CD practices, including version control platforms such as GitHub. Experience working in a technology sector, membership organisation, or policy focused environment. Benefits This is a full time role based out of techUK's London offices, however techUK operates a flexible working policy. This role profile is a guide to the work that is required but does not form part of any contract of employment and may change from time to time to reflect changing circumstances. The successful candidate must have permission to work in the UK prior to the commencement of employment. The salary range for this role is £52,000-£64,000 per annum based upon experience plus discretionary bonus and comprehensive benefits. To apply for this role, please click below on the 'Apply Now' button.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
May 21, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
