Get Staffed Online Recruitment Limited
Ringwood, Hampshire
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role Our client is looking for an experienced Systems Engineer with a keen interest in building technical solutions to help deliver outstanding service to their customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! The Company Our client is a specialist IT Infrastructure and Support Services provider with over 25 years of experience in the industry. They are an Employee Ownership Trust and a growing company, proud winners of a Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. Our client actively encourages progression for their colleagues, offering opportunities across other teams and departments. Join a friendly company where a great team and a positive culture await you.
Jun 03, 2026
Full time
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role Our client is looking for an experienced Systems Engineer with a keen interest in building technical solutions to help deliver outstanding service to their customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! The Company Our client is a specialist IT Infrastructure and Support Services provider with over 25 years of experience in the industry. They are an Employee Ownership Trust and a growing company, proud winners of a Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. Our client actively encourages progression for their colleagues, offering opportunities across other teams and departments. Join a friendly company where a great team and a positive culture await you.
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Jun 03, 2026
Full time
Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level . This is a role for people who want to own and deliver real AI transformation , not just advise on it. The company A high-end consultancy working across defence, consumer, and public sector clients , known for delivering complex, high-impact programmes. They've built a strong reputation on delivering measurable commercial outcomes , not just strategy - and are now investing heavily in expanding their AI capability to stay ahead of competitors. Where you fit You'll sit within the Digital / AI Consulting practice , working directly with clients to: Identify opportunities for AI and advanced analytics Design and deliver solutions end-to-end Embed those solutions into real business operations This is a hands-on leadership role - combining delivery, client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems Translate technical outputs into clear commercial value and measurable impact Mentor and develop consultants, helping build capability across the team Help shape the consultancy's AI offering and go-to-market approach Example work Using LLMs to improve decision-making and workflow automation in complex environments Delivering predictive analytics in healthcare to improve outcomes and efficiency Building AI-driven optimisation tools in retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science / machine learning background Experience delivering AI / GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing and commercially focused Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.) Nice to have Consulting experience (highly preferred) Experience across regulated or complex sectors (defence, public sector, retail, etc.) Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.) Experience mentoring or leading junior team members Why this role Shape and scale a growing AI consulting capability Work on complex, high-impact projects across multiple industries Strong blend of technical delivery, commercial impact, and leadership High visibility internally and with clients Opportunity to progress to partner level over time Working style London base (or nearest office) Hybrid working, with regular client travel 3 days total per week Flexible, project-led environment Interview process Online assessment (incl. logical / aptitude test) Informal first conversation (director-level, including short presentation) Final stage onsite in London (presentation + discussion)
Jun 01, 2026
Full time
I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across Lead and Principal level . This is a role for people who want to own and deliver real AI transformation , not just advise on it. The company A high-end consultancy working across defence, consumer, and public sector clients , known for delivering complex, high-impact programmes. They've built a strong reputation on delivering measurable commercial outcomes , not just strategy - and are now investing heavily in expanding their AI capability to stay ahead of competitors. Where you fit You'll sit within the Digital / AI Consulting practice , working directly with clients to: Identify opportunities for AI and advanced analytics Design and deliver solutions end-to-end Embed those solutions into real business operations This is a hands-on leadership role - combining delivery, client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply technologies such as LLMs, RAG systems, and agentic workflows to real business problems Translate technical outputs into clear commercial value and measurable impact Mentor and develop consultants, helping build capability across the team Help shape the consultancy's AI offering and go-to-market approach Example work Using LLMs to improve decision-making and workflow automation in complex environments Delivering predictive analytics in healthcare to improve outcomes and efficiency Building AI-driven optimisation tools in retail to improve pricing and margins Supporting large-scale programmes across defence and public infrastructure What you bring Core requirements Strong data science / machine learning background Experience delivering AI / GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing and commercially focused Evidence of measurable impact (revenue uplift, cost savings, efficiency gains, etc.) Nice to have Consulting experience (highly preferred) Experience across regulated or complex sectors (defence, public sector, retail, etc.) Familiarity with modern stacks (Python, cloud, Databricks, APIs, etc.) Experience mentoring or leading junior team members Why this role Shape and scale a growing AI consulting capability Work on complex, high-impact projects across multiple industries Strong blend of technical delivery, commercial impact, and leadership High visibility internally and with clients Opportunity to progress to partner level over time Working style London base (or nearest office) Hybrid working, with regular client travel 3 days total per week Flexible, project-led environment Interview process Online assessment (incl. logical / aptitude test) Informal first conversation (director-level, including short presentation) Final stage onsite in London (presentation + discussion)
6010-Biosense Webster Inc. Legal Entity
High Wycombe, Buckinghamshire
The Global Technology Leader - Director, MedTech Surgery Data & Analytics and AI will serve as the business-facing leader accountable for the data strategy, analytics outcomes, and AI enablement across MedTech Surgery-turning data into trusted, compliant, and scalable products that improve decision-making, performance, and innovation across R&D-adjacent, commercial, supply-chain, service, and digital surgery domains. Key Responsibilities Strategy & Outcomes (Business Value): Co-create and execute a multi-year Data & AI strategy and roadmap for MedTech Surgery aligned to business priorities and transformation milestones; translate strategy into measurable outcomes and OKRs. Identify and prioritize high-impact use cases across Surgery domains (e.g., commercial growth, demand sensing, intelligent service, computer vision for quality, workflow automation), balancing near-term wins and scalable platforms. Establish value tracking (benefits, adoption, quality, cycle-time) and regularly communicate progress to senior stakeholders. Data as a Product (Trusted, Standardized, AI-Ready): Position data as a strategic, reusable asset by creating and scaling data products for priority datasets with clear ownership, lineage, and quality controls-enabling trusted, connected, AI-ready insights. Drive standardization for priority datasets (examples referenced in current OKR language include: UDI, Product, Regulatory, Product Config, Clinical) and enable secure access through approved marketplace patterns. Implement stewardship and operating cadences that strengthen data literacy and adoption across the Surgery organization. Data Governance, Risk, and Compliance-by-Design: Build and operationalize an enterprise-grade governance model for Surgery data and AI (policies, controls, decision forums, stewardship), aligned to a federated model and consistent data management practices. Ensure privacy-by-design and security-by-design controls across data pipelines, analytics products, and AI solutions. Establish audit-ready processes for critical workflows (access controls, traceability, and monitoring) and partner with Cybersecurity, Regulatory Affairs, Legal, and Quality functions. AI Enablement & Model Lifecycle (From Pilot to Scale): Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data readiness, model development, validation, deployment, monitoring, and lifecycle governance. Enable scalable AI creation and deployment patterns aligned to Surgery platforms and labs, including capabilities such as data ingestion, enrichment/annotation, cohorting/access, model creation, deployment, and commercialization into clinical workflows where applicable. Champion responsible AI practices: transparency, human oversight, bias/risk assessment, and ongoing performance monitoring (informed by common industry Responsible AI leader role patterns). Platform & Architecture Partnership (Modern Data Stack): Define target-state data architecture for Surgery (integration patterns, pipeline standards, interoperability, observability) and drive reusable components/patterns to accelerate delivery of data products. Partner with platform/architecture leaders to ensure scalable cloud foundations, APIs, and data platforms that can support analytics and AI workloads. Where relevant to digital surgery, support pathways that interface with clinical environments (e.g., interoperability and integration patterns) as already referenced in existing "digital-first" strategy language. Operating Model & Stakeholder Leadership (BU-Driven, Enterprise-Connected): Establish a clear engagement model between BU-driven data science/engineering needs and central capabilities; ensure decision rights and resource allocation enable speed while maintaining standards. Serve as the primary point of accountability for Surgery Data & AI across Regions and Functions, enabling cross-region leverage without losing business specificity. Represent Surgery in cross-enterprise councils/communities aligned to data standards, governance, and AI capability building. People Leadership & Capability Building: Build, mentor, and lead high-performing teams across data engineering, analytics, and applied AI; develop talent pipelines and role clarity (including upskilling and strategic hiring). Create a culture of product thinking, operational excellence, and continuous improvement; implement modern ways of working (agile/product delivery) with strong portfolio governance. Financial & Vendor/Partner Management: Own budget planning (where applicable), vendor strategy, and partner ecosystem decisions for data/analytics tooling, AI services, and delivery capacity. Ensure cost discipline and scalable, reusable delivery models. Success Measures Increased adoption and satisfaction for priority data products; measurable improvements in data quality/availability for top datasets. AI use cases moved from pilot to scaled deployment with clear value realization and controlled lifecycle monitoring. Governance maturity improvements: clearer ownership, lineage, and audit-ready controls for critical workflows. Improved speed-to-insight and execution across Surgery value streams enabled by interoperable data platforms and trusted analytics. Qualifications & Experience Master's or PhD in Data Science, Computer Science, Engineering, or a related field; advanced business training (MBA or equivalent) is highly desirable. 10+ years of experience in data & analytics leadership roles, with a proven track record in AI strategy and implementation, preferably within MedTech, healthcare, or life sciences. Demonstrated expertise in data governance, cloud analytics platforms, machine learning, and regulatory compliance (GDPR, HIPAA, MDR). Strong leadership skills, with the ability to inspire and manage multidisciplinary teams. Exceptional communication and stakeholder management abilities, with experience collaborating across global organizations. Core Competencies Strategic Vision & Execution Technical Leadership in AI & Analytics Change Management & Innovation Regulatory Acumen Collaboration & Influence Required Skills Business Architecture Business Process Design Business Savvy Computer Programming Emerging Technologies Human-Computer Interaction (HCI) Leadership Organizational Change ManagementPlatform as a Service (PaaS) Product Knowledge Program Management Software Development Management Strategic Change Tactical Planning Technical Credibility Preferred Skills Business Architecture Business Process Design Business SavvyComputer Programming Emerging Technologies Human-Computer Interaction (HCI) Leadership Organizational Change Management Platform as a Service (PaaS) Product Knowledge Program Management Software Development Management Strategic Change Tactical Planning Technical Credibility
May 31, 2026
Full time
The Global Technology Leader - Director, MedTech Surgery Data & Analytics and AI will serve as the business-facing leader accountable for the data strategy, analytics outcomes, and AI enablement across MedTech Surgery-turning data into trusted, compliant, and scalable products that improve decision-making, performance, and innovation across R&D-adjacent, commercial, supply-chain, service, and digital surgery domains. Key Responsibilities Strategy & Outcomes (Business Value): Co-create and execute a multi-year Data & AI strategy and roadmap for MedTech Surgery aligned to business priorities and transformation milestones; translate strategy into measurable outcomes and OKRs. Identify and prioritize high-impact use cases across Surgery domains (e.g., commercial growth, demand sensing, intelligent service, computer vision for quality, workflow automation), balancing near-term wins and scalable platforms. Establish value tracking (benefits, adoption, quality, cycle-time) and regularly communicate progress to senior stakeholders. Data as a Product (Trusted, Standardized, AI-Ready): Position data as a strategic, reusable asset by creating and scaling data products for priority datasets with clear ownership, lineage, and quality controls-enabling trusted, connected, AI-ready insights. Drive standardization for priority datasets (examples referenced in current OKR language include: UDI, Product, Regulatory, Product Config, Clinical) and enable secure access through approved marketplace patterns. Implement stewardship and operating cadences that strengthen data literacy and adoption across the Surgery organization. Data Governance, Risk, and Compliance-by-Design: Build and operationalize an enterprise-grade governance model for Surgery data and AI (policies, controls, decision forums, stewardship), aligned to a federated model and consistent data management practices. Ensure privacy-by-design and security-by-design controls across data pipelines, analytics products, and AI solutions. Establish audit-ready processes for critical workflows (access controls, traceability, and monitoring) and partner with Cybersecurity, Regulatory Affairs, Legal, and Quality functions. AI Enablement & Model Lifecycle (From Pilot to Scale): Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data readiness, model development, validation, deployment, monitoring, and lifecycle governance. Enable scalable AI creation and deployment patterns aligned to Surgery platforms and labs, including capabilities such as data ingestion, enrichment/annotation, cohorting/access, model creation, deployment, and commercialization into clinical workflows where applicable. Champion responsible AI practices: transparency, human oversight, bias/risk assessment, and ongoing performance monitoring (informed by common industry Responsible AI leader role patterns). Platform & Architecture Partnership (Modern Data Stack): Define target-state data architecture for Surgery (integration patterns, pipeline standards, interoperability, observability) and drive reusable components/patterns to accelerate delivery of data products. Partner with platform/architecture leaders to ensure scalable cloud foundations, APIs, and data platforms that can support analytics and AI workloads. Where relevant to digital surgery, support pathways that interface with clinical environments (e.g., interoperability and integration patterns) as already referenced in existing "digital-first" strategy language. Operating Model & Stakeholder Leadership (BU-Driven, Enterprise-Connected): Establish a clear engagement model between BU-driven data science/engineering needs and central capabilities; ensure decision rights and resource allocation enable speed while maintaining standards. Serve as the primary point of accountability for Surgery Data & AI across Regions and Functions, enabling cross-region leverage without losing business specificity. Represent Surgery in cross-enterprise councils/communities aligned to data standards, governance, and AI capability building. People Leadership & Capability Building: Build, mentor, and lead high-performing teams across data engineering, analytics, and applied AI; develop talent pipelines and role clarity (including upskilling and strategic hiring). Create a culture of product thinking, operational excellence, and continuous improvement; implement modern ways of working (agile/product delivery) with strong portfolio governance. Financial & Vendor/Partner Management: Own budget planning (where applicable), vendor strategy, and partner ecosystem decisions for data/analytics tooling, AI services, and delivery capacity. Ensure cost discipline and scalable, reusable delivery models. Success Measures Increased adoption and satisfaction for priority data products; measurable improvements in data quality/availability for top datasets. AI use cases moved from pilot to scaled deployment with clear value realization and controlled lifecycle monitoring. Governance maturity improvements: clearer ownership, lineage, and audit-ready controls for critical workflows. Improved speed-to-insight and execution across Surgery value streams enabled by interoperable data platforms and trusted analytics. Qualifications & Experience Master's or PhD in Data Science, Computer Science, Engineering, or a related field; advanced business training (MBA or equivalent) is highly desirable. 10+ years of experience in data & analytics leadership roles, with a proven track record in AI strategy and implementation, preferably within MedTech, healthcare, or life sciences. Demonstrated expertise in data governance, cloud analytics platforms, machine learning, and regulatory compliance (GDPR, HIPAA, MDR). Strong leadership skills, with the ability to inspire and manage multidisciplinary teams. Exceptional communication and stakeholder management abilities, with experience collaborating across global organizations. Core Competencies Strategic Vision & Execution Technical Leadership in AI & Analytics Change Management & Innovation Regulatory Acumen Collaboration & Influence Required Skills Business Architecture Business Process Design Business Savvy Computer Programming Emerging Technologies Human-Computer Interaction (HCI) Leadership Organizational Change ManagementPlatform as a Service (PaaS) Product Knowledge Program Management Software Development Management Strategic Change Tactical Planning Technical Credibility Preferred Skills Business Architecture Business Process Design Business SavvyComputer Programming Emerging Technologies Human-Computer Interaction (HCI) Leadership Organizational Change Management Platform as a Service (PaaS) Product Knowledge Program Management Software Development Management Strategic Change Tactical Planning Technical Credibility
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Director, Machine Learning Science Introduction to the Team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Are you passionate about applying advanced machine learning techniques to solve real world problems? Expedia Group possesses extensive and rich data sets, many of which remain untapped. Your passion for statistics and machine learning can drive significant growth for our business. We are seeking individuals with hands on experience in building machine learning models, acquired in either academic or industrial settings. You should have suitable management experience, with at least experience managing high performing machine learning teams. An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required. In this role, you will: Establish the roadmap and own the OKRs for machine learning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business impacts that improve conversion rates, loyalty, and overall traveler experience Prioritize the team's efforts between platform migration and experimenting with new features Foster cross functional partnerships with stakeholders, including product management, engineering, customer care, and supply teams. Collaborate with multiple product teams to make decisions and prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment Minimum Qualifications You have a graduate degree in a quantitative field or relevant equivalent experience You have 12+ years experience in Machine Learning Science You have 5+ years of people management experience You have extensive, up to date knowledge and hands on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU) You have extensive experience in Generative AI technology areas such as search, personalization, sorting, ranking, recommendation, bidding, pricing, etc You have large scale content experience; an area closely related to reimagine Content in the era of GenAI, personalization Preferred Qualifications You have a proven track record of designing and delivering high impact machine learning projects and products from concept to completion You have a proactive, problem solving mindset with the ability to simplify complexity and translate high level business requirements into specific projects You possess strong presentation skills, with the ability to communicate complex concepts clearly and tailor key messages and presentation styles to various audiences The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
May 31, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Director, Machine Learning Science Introduction to the Team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Are you passionate about applying advanced machine learning techniques to solve real world problems? Expedia Group possesses extensive and rich data sets, many of which remain untapped. Your passion for statistics and machine learning can drive significant growth for our business. We are seeking individuals with hands on experience in building machine learning models, acquired in either academic or industrial settings. You should have suitable management experience, with at least experience managing high performing machine learning teams. An advanced degree (PhD preferred) in machine learning, computer science, or another quantitative discipline is required. In this role, you will: Establish the roadmap and own the OKRs for machine learning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business impacts that improve conversion rates, loyalty, and overall traveler experience Prioritize the team's efforts between platform migration and experimenting with new features Foster cross functional partnerships with stakeholders, including product management, engineering, customer care, and supply teams. Collaborate with multiple product teams to make decisions and prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment Minimum Qualifications You have a graduate degree in a quantitative field or relevant equivalent experience You have 12+ years experience in Machine Learning Science You have 5+ years of people management experience You have extensive, up to date knowledge and hands on experience with machine learning and data engineering technologies (e.g., Kubernetes, Spark, Databricks, GPU) You have extensive experience in Generative AI technology areas such as search, personalization, sorting, ranking, recommendation, bidding, pricing, etc You have large scale content experience; an area closely related to reimagine Content in the era of GenAI, personalization Preferred Qualifications You have a proven track record of designing and delivering high impact machine learning projects and products from concept to completion You have a proactive, problem solving mindset with the ability to simplify complexity and translate high level business requirements into specific projects You possess strong presentation skills, with the ability to communicate complex concepts clearly and tailor key messages and presentation styles to various audiences The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
May 31, 2026
Full time
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
May 31, 2026
Full time
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
May 31, 2026
Full time
Director of Ad Monetisation Lead Tripledot's global advertising strategy across our portfolio of hit games, driving strategy, analytics, partnerships, and innovation that power our ad monetisation performance and oversee more than $100M in annual ad revenue. Key Responsibilities Lead and optimise ad monetisation strategy across all Tripledot titles, balancing revenue growth with player experience. Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly. Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering. Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements. Collaborate cross functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation. Build and mentor a world class monetisation team focused on analytics, ad ops, and partner management. Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance. Qualifications 5+ years' experience in ad monetisation, ad tech, or performance marketing within gaming or mobile apps. Proven success managing $100M+ in annual ad revenue. Expert knowledge of mediation, waterfalls, bidding, and partner optimisation. Strong analytical and quantitative skills-advanced in SQL, data tools, and statistical reasoning. Exceptional communication and negotiation skills, with the capacity to engage with senior executives and external partners effectively. Strategic thinker with a data first mindset and hands on execution ability. Experience working closely with BI, Product, and Engineering on scalable ad tech solutions. Experience leading monetisation for a top grossing mobile studio or large scale app portfolio. Familiarity with predictive modelling or machine learning in ad optimisation. Benefits 25 days paid holiday in addition to bank holidays. Hybrid Working: Work in the office 3 days a week (Tuesdays and Wednesdays, plus a third day of your choice). Remote working: 20 days of the year to work from anywhere, or to cover mandatory office days. Daily Free Lunch: £12 per day when in the office. Regular company events and rewards: Quarterly on site and off site events celebrating culture and achievements. Employee Assistance Program: Confidential, caring support for personal matters. Family Forming Support: Support for fertility journey (subject to policy). Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Opportunities for career advancement. Private Medical Cover & Health Cash Plan: Opt in benefit with Bupa and Medicash. Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt in 4% contributory match schemes offered.
Tagomics, a Cambridge based biotechnology company developing a next generation multi omic biomarker discovery platform, is hiring a Senior Bioinformatics Lead. The Role This is the hands on senior scientific position within our Computational Technology team, reporting to the Director of Computational Technology. You will help set the bioinformatics strategy, lead the analytical programmes that drive our biomarker discovery platform, and translate computational insights into clinically relevant outputs. It's a role for someone who combines strong technical expertise in NGS and epigenetic analysis with the scientific judgement to shape R&D direction and the communication skills to bring laboratory scientists, engineers, and external partners along with them. You will line manage a small team bioinformaticians, contribute to study design and experimental strategy, and play a meaningful role in how the science evolves as we move towards commercial launch. What You'll Be Doing Leading bioinformatic analysis of NGS datasets, ensuring robustness, scalability, and reproducibility across all workflows Helping to set the bioinformatics strategy for the platform, defining the analytical direction across programmes Developing and optimising methods for epigenetic profiling and biomarker discovery, including integration of multi omic data Providing technical leadership across R&D programmes: study design, analytical strategy, interpretation of results Applying machine learning and advanced computational approaches to epigenetic and multi omic datasets Collaborating closely with laboratory scientists and engineers to define requirements and shape experimental direction Line managing and mentoring a team of 2-3 bioinformaticians, building capability across the team Contributing to scientific publications and conference abstracts, IP development, and where relevant, presenting findings to external partners What We're Looking For Essential: PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline At least 6 years of industry or equivalent academic experience in bioinformatics Proven expertise in NGS data analysis (WGS, RNA seq, exome) including QC and interpretation Experience with epigenetic datasets such as ATAC seq, ChIP seq, WGBS, MeDIP seq or similar Proficient in data analysis using Python and/or R, with high coding standards A track record of delivering in cross functional scientific teams Demonstrated line management experience, with a track record of developing and supporting other scientists Desirable Domain expertise in epigenetics or cancer genomics, with peer reviewed publications Familiarity with machine learning applied to biological data Cloud computing experience, preferably AWS Experience in biomarker discovery and/or product development Previous experience in early stage biotech environments What We Offer Competitive salary Share option scheme Matched pension contributions up to 8% Private healthcare Performance related bonus scheme Flexible hybrid working (minimum 2 days per week on site)
May 31, 2026
Full time
Tagomics, a Cambridge based biotechnology company developing a next generation multi omic biomarker discovery platform, is hiring a Senior Bioinformatics Lead. The Role This is the hands on senior scientific position within our Computational Technology team, reporting to the Director of Computational Technology. You will help set the bioinformatics strategy, lead the analytical programmes that drive our biomarker discovery platform, and translate computational insights into clinically relevant outputs. It's a role for someone who combines strong technical expertise in NGS and epigenetic analysis with the scientific judgement to shape R&D direction and the communication skills to bring laboratory scientists, engineers, and external partners along with them. You will line manage a small team bioinformaticians, contribute to study design and experimental strategy, and play a meaningful role in how the science evolves as we move towards commercial launch. What You'll Be Doing Leading bioinformatic analysis of NGS datasets, ensuring robustness, scalability, and reproducibility across all workflows Helping to set the bioinformatics strategy for the platform, defining the analytical direction across programmes Developing and optimising methods for epigenetic profiling and biomarker discovery, including integration of multi omic data Providing technical leadership across R&D programmes: study design, analytical strategy, interpretation of results Applying machine learning and advanced computational approaches to epigenetic and multi omic datasets Collaborating closely with laboratory scientists and engineers to define requirements and shape experimental direction Line managing and mentoring a team of 2-3 bioinformaticians, building capability across the team Contributing to scientific publications and conference abstracts, IP development, and where relevant, presenting findings to external partners What We're Looking For Essential: PhD in bioinformatics, computational biology, epigenetics, genetics, or a related discipline At least 6 years of industry or equivalent academic experience in bioinformatics Proven expertise in NGS data analysis (WGS, RNA seq, exome) including QC and interpretation Experience with epigenetic datasets such as ATAC seq, ChIP seq, WGBS, MeDIP seq or similar Proficient in data analysis using Python and/or R, with high coding standards A track record of delivering in cross functional scientific teams Demonstrated line management experience, with a track record of developing and supporting other scientists Desirable Domain expertise in epigenetics or cancer genomics, with peer reviewed publications Familiarity with machine learning applied to biological data Cloud computing experience, preferably AWS Experience in biomarker discovery and/or product development Previous experience in early stage biotech environments What We Offer Competitive salary Share option scheme Matched pension contributions up to 8% Private healthcare Performance related bonus scheme Flexible hybrid working (minimum 2 days per week on site)
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. Our People: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. Role Purpose: We are seeking an experienced AI & Model Evaluation Manager to lead the evaluation, validation, and governance of advanced AI, machine learning, and statistical models across our Active Data Layer programme of development.This role blends technical depth, strategic leadership, and strong stakeholder management, ensuring that our models are accurate, reliable, safe, and aligned with regulatory and organisational standards.You will oversee the end-to-end lifecycle of model evaluation - ranging from large language models (LLMs), agentic systems, and machine learning models used across Risk Intelligence to source, determine, match, and resolve model-driven data tasks within our Financial Crime and Screening domains. to end lifecycle of model evaluation.You will act as the product owner of the AILab and associated analytics infrastructure supporting our ADL models, working in close partnership with technology leads on the development and implementation of these new capabilities.As a senior member of the Data & Product team, you will partner closely with engineering and architecture teams, including Data Science, AIOps, as well as the wider business functions such as Risk & Compliance, Legal, and Content Operations to ensure our data capabilities are accurate, fair, robust, auditable, and business-effective.In addition, you will use your experience to shape best practices, drive innovation, and influence broader AI and model governance frameworks. Key Responsibilities: AI & ML Model Evaluation Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models. Oversee scenario based testing, regression suites, multiturn agent simulations, and automated evaluation systems such as LLMasJudge and hybrid scoring approaches. based testing, regression suites, multi turn agent simulations, and automated evaluation systems such as LLM as Judge and hybrid scoring approaches. Build, refine, and maintain frameworks that assess model quality, robustness, performance, safety, explainability, and reliability at scale. Model Validation & Governance Direct the independent review and validation of models across teams, ensuring compliance with internal LSEG governance standards and processes, and relevant regulatory expectations. Maintain a robust model inventory, validation documentation, and version controlled evidence supporting approval and audit requirements. controlled evidence supporting approval and audit requirements. Serve as a subject matter expert on model risk & decision methodologies (as applicable), AI evaluation patterns, and modelling frameworks. Experimentation & Monitoring Oversee the development and operation of online and offline experimentation platforms, including A/B testing, shadow deployments, canary releases, and continuous monitoring. Embed evaluation and experimentation into CI/CD pipelines, enabling automated quality gates and reliable release processes for model-driven products. Implement observability practices that track model drift, degradation, safety issues, and agent behaviour over time. Leadership & Strategy Work collaboratively within a cross-functional high-performing team, fostering innovation, technical excellence, and a collaborative culture. Define and execute strategic direction for AI evaluation, model risk management, and model governance frameworks. Partner with product, engineering, research, risk, compliance, and senior leadership across the organisation to influence AI development practices and decision-making. Represent the function in internal and external audits, regulatory engagements, and cross-functional governance forums. functional governance forums. Stakeholder Engagement Act as a trusted advisor to model owners, developers, and business leaders-translating complex technical findings into actionable insights. Support change management across the organisation to drive consistency in evaluation standards, documentation quality, and responsible AI adoption. Required Experience & Qualifications Bachelor's, Master's, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field. Significant professional experience (typically 7-12+ years) in AI/ML product development / management, model validation, quantitative research, risk modelling, or related areas. Demonstrated success working with technical teams or senior specialists in high stakes modelling environments. Deep understanding of AI/ML systems-including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques. Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks. Familiarity with model evaluation tooling, experimentation frameworks, and modern ML infrastructure. Excellent communication skills, with the ability to present complex findings clearly to both technical and non technical audiences. Preferred Experience & Qualifications: Experience in B2B data or RegTech environments. Experience managing AI systems in production environments or high scale data and ML platforms. Experience in working with teams in MLOps, DevOps, or large scale compute environments (e.g., GPU clusters, cloud orchestration, Kubernetes). Experience with Generative AI evaluation, agent testing, or AI safety frameworks. Track record of partnering with regulatory bodies or leading audit readiness efforts. What Success Looks Like Models across the organisation consistently meet high standards
May 31, 2026
Full time
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. Our People: People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. Role Purpose: We are seeking an experienced AI & Model Evaluation Manager to lead the evaluation, validation, and governance of advanced AI, machine learning, and statistical models across our Active Data Layer programme of development.This role blends technical depth, strategic leadership, and strong stakeholder management, ensuring that our models are accurate, reliable, safe, and aligned with regulatory and organisational standards.You will oversee the end-to-end lifecycle of model evaluation - ranging from large language models (LLMs), agentic systems, and machine learning models used across Risk Intelligence to source, determine, match, and resolve model-driven data tasks within our Financial Crime and Screening domains. to end lifecycle of model evaluation.You will act as the product owner of the AILab and associated analytics infrastructure supporting our ADL models, working in close partnership with technology leads on the development and implementation of these new capabilities.As a senior member of the Data & Product team, you will partner closely with engineering and architecture teams, including Data Science, AIOps, as well as the wider business functions such as Risk & Compliance, Legal, and Content Operations to ensure our data capabilities are accurate, fair, robust, auditable, and business-effective.In addition, you will use your experience to shape best practices, drive innovation, and influence broader AI and model governance frameworks. Key Responsibilities: AI & ML Model Evaluation Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models. Oversee scenario based testing, regression suites, multiturn agent simulations, and automated evaluation systems such as LLMasJudge and hybrid scoring approaches. based testing, regression suites, multi turn agent simulations, and automated evaluation systems such as LLM as Judge and hybrid scoring approaches. Build, refine, and maintain frameworks that assess model quality, robustness, performance, safety, explainability, and reliability at scale. Model Validation & Governance Direct the independent review and validation of models across teams, ensuring compliance with internal LSEG governance standards and processes, and relevant regulatory expectations. Maintain a robust model inventory, validation documentation, and version controlled evidence supporting approval and audit requirements. controlled evidence supporting approval and audit requirements. Serve as a subject matter expert on model risk & decision methodologies (as applicable), AI evaluation patterns, and modelling frameworks. Experimentation & Monitoring Oversee the development and operation of online and offline experimentation platforms, including A/B testing, shadow deployments, canary releases, and continuous monitoring. Embed evaluation and experimentation into CI/CD pipelines, enabling automated quality gates and reliable release processes for model-driven products. Implement observability practices that track model drift, degradation, safety issues, and agent behaviour over time. Leadership & Strategy Work collaboratively within a cross-functional high-performing team, fostering innovation, technical excellence, and a collaborative culture. Define and execute strategic direction for AI evaluation, model risk management, and model governance frameworks. Partner with product, engineering, research, risk, compliance, and senior leadership across the organisation to influence AI development practices and decision-making. Represent the function in internal and external audits, regulatory engagements, and cross-functional governance forums. functional governance forums. Stakeholder Engagement Act as a trusted advisor to model owners, developers, and business leaders-translating complex technical findings into actionable insights. Support change management across the organisation to drive consistency in evaluation standards, documentation quality, and responsible AI adoption. Required Experience & Qualifications Bachelor's, Master's, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field. Significant professional experience (typically 7-12+ years) in AI/ML product development / management, model validation, quantitative research, risk modelling, or related areas. Demonstrated success working with technical teams or senior specialists in high stakes modelling environments. Deep understanding of AI/ML systems-including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques. Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks. Familiarity with model evaluation tooling, experimentation frameworks, and modern ML infrastructure. Excellent communication skills, with the ability to present complex findings clearly to both technical and non technical audiences. Preferred Experience & Qualifications: Experience in B2B data or RegTech environments. Experience managing AI systems in production environments or high scale data and ML platforms. Experience in working with teams in MLOps, DevOps, or large scale compute environments (e.g., GPU clusters, cloud orchestration, Kubernetes). Experience with Generative AI evaluation, agent testing, or AI safety frameworks. Track record of partnering with regulatory bodies or leading audit readiness efforts. What Success Looks Like Models across the organisation consistently meet high standards
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the centre - all in an environment that nurtures skills and helps you realise your potential. Our team is key to our success. We're people first. We value collaboration, curiosity and commitment. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. As a Product Director at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML Ships product changes with care and quality in line with the organisation's governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that operates efficiently and supports each other Required qualifications, capabilities and skills Extensive product management experience, with hands on experience building fraud and dynamic assessment products, ideally across a wide range of capabilities including workflow orchestration, data integration, model development and case management A desire to solve hard problems from first principles A bias towards craft and quality Clarity of thought. We operate quickly and efficiently, and we value people who are economical with their time and clear with their opinions. The ability to write clearly and concisely. Written commentary is a meaningful part of our everyday working culture. Comfort working in uncharted waters. We are building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real world problems Experience working in a highly regulated industry We recognise 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, colour, 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.
May 31, 2026
Full time
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the centre - all in an environment that nurtures skills and helps you realise your potential. Our team is key to our success. We're people first. We value collaboration, curiosity and commitment. While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique - and that diversity of thought, experience and background is what makes a good team great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. As a Product Director at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML Ships product changes with care and quality in line with the organisation's governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that operates efficiently and supports each other Required qualifications, capabilities and skills Extensive product management experience, with hands on experience building fraud and dynamic assessment products, ideally across a wide range of capabilities including workflow orchestration, data integration, model development and case management A desire to solve hard problems from first principles A bias towards craft and quality Clarity of thought. We operate quickly and efficiently, and we value people who are economical with their time and clear with their opinions. The ability to write clearly and concisely. Written commentary is a meaningful part of our everyday working culture. Comfort working in uncharted waters. We are building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real world problems Experience working in a highly regulated industry We recognise 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, colour, 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.
J.P. Morgan Asset & Wealth Management is a global leader in investment and wealth management, serving institutions, high-net-worth individuals, and retail investors. The division offers investment management across all major asset classes-including equities, fixed income, alternatives, multi-asset, and money market funds-and provides retirement products, brokerage, and banking services such as trusts, estates, loans, mortgages, and deposits. J.P. Morgan Private Bank advises the world's wealthiest families, delivering tailored advice and solutions across investments, wealth planning, credit, and banking to help clients build, preserve, and manage their wealth. Our team of specialists works seamlessly to help clients achieve their financial goals and aspirations, earning consistent recognition from Euromoney and Global Finance Magazine as a leader in global private banking. As part of the International Private Bank (IPB) Digital & Data Transformation (DDT) organization, the IPB Advisor Experience team is focused on understanding advisor workflows and designing end-to-end journeys that enhance both advisor and client experiences. This is an exciting time to drive strategic change, accelerate business growth, and achieve efficiency goals globally. As a Principal Software Engineer in Asset & Wealth Management, you will provide deep technical expertise and engineering leadership as part of an agile team. You will design, build, and deliver secure, stable, and scalable technology products that support one or more of our portfolios. You will collaborate across the organization to promote best-in-class outcomes, drive the adoption of AI technologies, and influence leaders and stakeholders. Your work will help us deliver trusted solutions that support our clients and business objectives. Job Responsibilities Create complex and scalable coding frameworks using industry-standard software design principles Develop secure, high-quality production code and review and debug code written by others Advise cross-functional teams on technology matters within your domain of expertise Drive the adoption of AI technologies to enhance software capabilities and user experience Serve as the go-to subject matter expert for your function Contribute to the development of technical methods in specialized fields aligned with the latest product development methodologies Create durable, reusable software frameworks leveraged across teams and functions Influence leaders and senior stakeholders across business, product, and technology teams Champion a culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with proven applied experience Hands on experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming with a strong understanding of technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using agile methodologies such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders and executives Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills Prior experience in the financial industry with an understanding of regulatory requirements and industry-specific challenges Ability to lead and collaborate with cross functional teams, including product management, design, and quality assurance Strong analytical and problem solving skills with a track record of developing innovative solutions to complex technical challenges 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.
May 31, 2026
Full time
J.P. Morgan Asset & Wealth Management is a global leader in investment and wealth management, serving institutions, high-net-worth individuals, and retail investors. The division offers investment management across all major asset classes-including equities, fixed income, alternatives, multi-asset, and money market funds-and provides retirement products, brokerage, and banking services such as trusts, estates, loans, mortgages, and deposits. J.P. Morgan Private Bank advises the world's wealthiest families, delivering tailored advice and solutions across investments, wealth planning, credit, and banking to help clients build, preserve, and manage their wealth. Our team of specialists works seamlessly to help clients achieve their financial goals and aspirations, earning consistent recognition from Euromoney and Global Finance Magazine as a leader in global private banking. As part of the International Private Bank (IPB) Digital & Data Transformation (DDT) organization, the IPB Advisor Experience team is focused on understanding advisor workflows and designing end-to-end journeys that enhance both advisor and client experiences. This is an exciting time to drive strategic change, accelerate business growth, and achieve efficiency goals globally. As a Principal Software Engineer in Asset & Wealth Management, you will provide deep technical expertise and engineering leadership as part of an agile team. You will design, build, and deliver secure, stable, and scalable technology products that support one or more of our portfolios. You will collaborate across the organization to promote best-in-class outcomes, drive the adoption of AI technologies, and influence leaders and stakeholders. Your work will help us deliver trusted solutions that support our clients and business objectives. Job Responsibilities Create complex and scalable coding frameworks using industry-standard software design principles Develop secure, high-quality production code and review and debug code written by others Advise cross-functional teams on technology matters within your domain of expertise Drive the adoption of AI technologies to enhance software capabilities and user experience Serve as the go-to subject matter expert for your function Contribute to the development of technical methods in specialized fields aligned with the latest product development methodologies Create durable, reusable software frameworks leveraged across teams and functions Influence leaders and senior stakeholders across business, product, and technology teams Champion a culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with proven applied experience Hands on experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming with a strong understanding of technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using agile methodologies such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders and executives Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills Prior experience in the financial industry with an understanding of regulatory requirements and industry-specific challenges Ability to lead and collaborate with cross functional teams, including product management, design, and quality assurance Strong analytical and problem solving skills with a track record of developing innovative solutions to complex technical challenges 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 Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are looking for a data science manager to own the data science strategy and build a data science team for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects. Join us if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products You are excited about getting your hands dirty and getting the work done You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. What you'll be working on Hire, develop and retain talented data scientists Own the data science roadmap to contribute to new product expansion Build trust and influence a diverse range of leaders and stakeholders. Gather requirements internally and externally to define the success of the data science projects Drive exciting data science projects from both strategic level and tactical level. Clearly communicate results to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Be a great mentor to a team of talented data scientists and the broader analytics community Key Skills Successful track record of managing data science projects, with cross-functional teams and senior stakeholders At least 2+ years experience as a people manager Confident and effective communication both internally and externally Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations Strong technical skills in Python, SQL, and statistics Experience across the model lifecycle from scoping and model development to deployment and monitoring Nice to have Experience of working in insurance, telco or consulting in financial services industry The interview process We're not corporate so we try our best to get things moving as quickly as possible. For this role we'd expect: Recruiter call Initial call with Hiring Manager Technical Interview Case study Final interviews with Head of Data Science and Chief Risk Officer Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!
May 31, 2026
Full time
About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 700 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are looking for a data science manager to own the data science strategy and build a data science team for non-lending products. You will partner with the managing directors to define what to build from a data science perspective and lead the delivery of the data science projects. Join us if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You enjoy being the thought partner to the managing directors who are in charge of launching and growing the new products You are excited about getting your hands dirty and getting the work done You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team. What you'll be working on Hire, develop and retain talented data scientists Own the data science roadmap to contribute to new product expansion Build trust and influence a diverse range of leaders and stakeholders. Gather requirements internally and externally to define the success of the data science projects Drive exciting data science projects from both strategic level and tactical level. Clearly communicate results to stakeholders through verbal and written communication. Share ideas with the wider team, learn from and contribute to the body of knowledge. Be a great mentor to a team of talented data scientists and the broader analytics community Key Skills Successful track record of managing data science projects, with cross-functional teams and senior stakeholders At least 2+ years experience as a people manager Confident and effective communication both internally and externally Extensive knowledge of the financial services industry, including the products, data, typical ML applications, and related regulations Strong technical skills in Python, SQL, and statistics Experience across the model lifecycle from scoping and model development to deployment and monitoring Nice to have Experience of working in insurance, telco or consulting in financial services industry The interview process We're not corporate so we try our best to get things moving as quickly as possible. For this role we'd expect: Recruiter call Initial call with Hiring Manager Technical Interview Case study Final interviews with Head of Data Science and Chief Risk Officer Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!
Speechmatics Limited seeks a Director, Product to own and drive the product strategy and roadmap for their leading Voice AI offerings. This senior role demands leadership across engineering, research, design, marketing, and sales while influencing company strategy at an executive level. The ideal candidate will have a solid background in machine learning, experience in driving product-led growth, and a strong track record of leading high-performing product teams. A hybrid working model with 2-3 office days per week is structured to foster collaboration.
May 30, 2026
Full time
Speechmatics Limited seeks a Director, Product to own and drive the product strategy and roadmap for their leading Voice AI offerings. This senior role demands leadership across engineering, research, design, marketing, and sales while influencing company strategy at an executive level. The ideal candidate will have a solid background in machine learning, experience in driving product-led growth, and a strong track record of leading high-performing product teams. A hybrid working model with 2-3 office days per week is structured to foster collaboration.
Chief Solution Architect (Pre-sales, AI + Data Transformation) Reporting to: Managing Director, UK&I As Google Cloud's premier partner in AI and Data Transformation, we provide world class businesses with the strategic consulting and technical execution required for cutting edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future prove their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs. The Role Datatonic is seeking a Chief Solution Architect as the first hire in our new pre sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies. You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large scale engagements with direct links to the C suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic's offerings in the market. You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C suite and architect levels. What You'll Do Pre Sales Leadership Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives. Take an insight led approach to bring industry best practices in data and AI to shape and guide clients' strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+. Strategic Advisory Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners. Work with our GTM team to create industry relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions. Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments. Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7-12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre sales or client facing advisory role. Strong knowledge of cloud based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments. Hands on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross skill to GCP quickly will be considered. Excellent written and verbal communication; able to simplify complex technical ideas for business leaders. A consultative sales approach with experience shaping deals over $1M. Comfortable presenting to C suite, negotiating trade offs, and influencing stakeholders. Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies What Success Looks Like (first 12 months) Consistently shaping and winning large scale data and AI transformations for our biggest clients. Recognized by Sales as the go to technical partner for complex pursuits. Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed. Trusted by strategic accounts as a value driven advisor. Strong contribution as a thought leader to vertical narratives, events, and Datatonic's GTM.
May 29, 2026
Full time
Chief Solution Architect (Pre-sales, AI + Data Transformation) Reporting to: Managing Director, UK&I As Google Cloud's premier partner in AI and Data Transformation, we provide world class businesses with the strategic consulting and technical execution required for cutting edge data solutions in the cloud. We partner with clients to push the limits of leading technology by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future prove their solutions, deepen their understanding of consumers, increase competitive advantage, and unlock massive operational efficiencies through data transformation programs. The Role Datatonic is seeking a Chief Solution Architect as the first hire in our new pre sales function to help shape, qualify, and win our most strategic data, AI, and Agentic transformations. This role sits at the intersection of data & AI consulting, technical advisory, and industry storytelling. You will partner with the Account Manager and technical/engineering leadership to grow our most strategic accounts across Telecommunications, FSI, Media, and Agencies. You will help take our clients along a transformative journey in their thinking about what is possible with data and AI. This will result in large scale engagements with direct links to the C suite. You will run early discovery, define solutions, shape SOWs, and represent Datatonic's offerings in the market. You do not need to manage people, but you must be exceptional with technical and business stakeholders, able to build trust quickly, and comfortable presenting at C suite and architect levels. What You'll Do Pre Sales Leadership Lead early discovery alongside Sales: understand business pain points, qualify opportunities, and translate ambiguity into structured technical narratives. Take an insight led approach to bring industry best practices in data and AI to shape and guide clients' strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support RFP responses, solution reviews, and deal strategy for opportunities and accounts £1m+. Strategic Advisory Facilitate client workshops on AI strategy, platform modernization, and GenAI readiness, with a lens toward bringing our clients along on a transformative journey in their approach to data and AI. Build POVs and architecture options that balance business value, feasibility, and cost. Act as a trusted advisor for our clients across data platforms, MLOps, Generative and Agentic AI, and application design. Thought Leadership, GTM & Vertical Expertise Represent Datatonic on site at client, at events, conferences, partner sessions, and executive dinners. Work with our GTM team to create industry relevant content (decks, briefs, POVs) tailored for Telecommunications, FSI, Media, and Agencies and help shape our offering by surfacing patterns, reusable architectures, and packaged solutions. Work with the Office of the CTO and our Architecture delivery team to establish standards, handbooks, and technical best practices for data and agentic deployments. Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7-12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre sales or client facing advisory role. Strong knowledge of cloud based architectures (including infrastructure, data architecture, governance), application design, and Generative and Agentic AI concepts and deployments. Hands on depth in GCP is ideal, but strong AWS/Azure SAs with a proven ability to cross skill to GCP quickly will be considered. Excellent written and verbal communication; able to simplify complex technical ideas for business leaders. A consultative sales approach with experience shaping deals over $1M. Comfortable presenting to C suite, negotiating trade offs, and influencing stakeholders. Ideally, a track record in at least one of our verticals: Telecommunications, FSI, Media, and Agencies What Success Looks Like (first 12 months) Consistently shaping and winning large scale data and AI transformations for our biggest clients. Recognized by Sales as the go to technical partner for complex pursuits. Recognized by Delivery for the accuracy of SOW scoping and technical leadership when needed. Trusted by strategic accounts as a value driven advisor. Strong contribution as a thought leader to vertical narratives, events, and Datatonic's GTM.
Overview The Applied Artificial Intelligence and Machine Learning (AI/ML) team in Infrastructure Platforms is transforming the operations of the world's largest bank by advancing how we deliver foundational infrastructure platforms and solutions for our business, both using AI/ML in our work as well as the creation of AI hosting platforms. We are looking for an Executive Director to lead the development of a small team of specialists. This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership coupled with practical hands on acceleration for key products we are building. We seek a team member with a strong foundation in artificial intelligence and software engineering along with practical experience leading the development and production operation of AI systems in enterprise environments. As an Applied AI/ML Director within the Infrastructure Platforms group you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI advancements. Responsibilities Assist our AI teams to directly solve for priority use cases within the domain, leveraging firmwide solutions and extending where needed Ensure all our AI/ML solutions have security and data protection at their core Design and build services and libraries that our AI teams want to use and ensure responsible AI engineering is central to how we work Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Partner across our organisation to advance AI/ML understanding, share learning and embed standards Drive best practice as a community leader and ensure AI practitioners in the firm stay up to date with the latest advances Qualifications Experience working in multi-disciplinary AI engineering teams 10 years software engineering experience including large scale production systems Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high-performing AI teams Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences Able to influence key decision makers with compelling technical arguments.
May 29, 2026
Full time
Overview The Applied Artificial Intelligence and Machine Learning (AI/ML) team in Infrastructure Platforms is transforming the operations of the world's largest bank by advancing how we deliver foundational infrastructure platforms and solutions for our business, both using AI/ML in our work as well as the creation of AI hosting platforms. We are looking for an Executive Director to lead the development of a small team of specialists. This team will be responsible for creating horizontal capabilities in the form of APIs, libraries, and thought leadership coupled with practical hands on acceleration for key products we are building. We seek a team member with a strong foundation in artificial intelligence and software engineering along with practical experience leading the development and production operation of AI systems in enterprise environments. As an Applied AI/ML Director within the Infrastructure Platforms group you will lead a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI advancements. Responsibilities Assist our AI teams to directly solve for priority use cases within the domain, leveraging firmwide solutions and extending where needed Ensure all our AI/ML solutions have security and data protection at their core Design and build services and libraries that our AI teams want to use and ensure responsible AI engineering is central to how we work Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Partner across our organisation to advance AI/ML understanding, share learning and embed standards Drive best practice as a community leader and ensure AI practitioners in the firm stay up to date with the latest advances Qualifications Experience working in multi-disciplinary AI engineering teams 10 years software engineering experience including large scale production systems Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high-performing AI teams Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences Able to influence key decision makers with compelling technical arguments.
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role We are looking for an experienced Systems Engineer with a keen interest in building technical solutions to help us deliver outstanding service to our customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust, a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
May 29, 2026
Full time
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role We are looking for an experienced Systems Engineer with a keen interest in building technical solutions to help us deliver outstanding service to our customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust, a growing company. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
As Director, Product, you'll own the strategy and roadmap for our largest and fastest growing use cases , and product as a whole . You'll translate market,customer and competitor insight into a clear productvision and orchestrate engineering , research, design, marketing and sales to land it at scale . You'll provide leadership to the company as a whole and a growing team of product managers - set ting the bar for product craft, and play a key role shaping company strategy alongside the VP, Product and the wider exec. In this company, product has huge sway about where we go, and this role is where thatinfluence lives. This is a senior, cross-functional role for someone readyto drive change and accelerate growth in an already successful company . You'll be playing a defining part in how Voice AI is adopted worldwide. What will you be doing: Owning the strategy, vision and roadmap - from early discovery and definition through to development and GTM execution. Leading cross - functional teams addressing the key challenges with finesse while moving at pace . Leading, hiring and growing a high-performing product management team - setting the bar for productcraftand driving a culture of boundless curiosity and rigorous execution. Scaling our adoption through Product -Led Growth, deepening developer experience, self-serve activation and expansion across our ideal customer profiles. Driving our Enterprise sales with frequent interactions with our key customers and prospects. Championing Speechmatics externally, be it a panel discussion at a key event , a webinar or with the C-suit of some of the largest and most game changing companies globally . Partnering with the VP, Product and exec team to shape company strategy, influence investment decisions and represent product at leadership level. Cross-functional leader with a proven track record of aligning engineering, research, design , marketing and GTM behind a shared roadmap and shipping at pace, ideally in a tech scale-up environment. Market insight to roadmap , can turn customer, competitor and market signals into a clear, prioritised roadmap with the credibility to give teams the motivation and direction to execute against it. Relevant domain experience , you'll have a s olid background in building proprietary machine learning models and /or deep speech experience are highly desired . H ands-on PLG experience scaling a developer-led or self-serve product would be a strong advantage . Scaling experience in m id-stage compan ies is also strongly preferred. Results driven and execution focused , you will t hrives forging a path through ambiguous , rapidly evolving environments without a large supporting structure around them. Senior people leader , you'll have built and grown product teams and can act as a credible partner to exec stakeholders, influencing at leadership level. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
May 29, 2026
Full time
As Director, Product, you'll own the strategy and roadmap for our largest and fastest growing use cases , and product as a whole . You'll translate market,customer and competitor insight into a clear productvision and orchestrate engineering , research, design, marketing and sales to land it at scale . You'll provide leadership to the company as a whole and a growing team of product managers - set ting the bar for product craft, and play a key role shaping company strategy alongside the VP, Product and the wider exec. In this company, product has huge sway about where we go, and this role is where thatinfluence lives. This is a senior, cross-functional role for someone readyto drive change and accelerate growth in an already successful company . You'll be playing a defining part in how Voice AI is adopted worldwide. What will you be doing: Owning the strategy, vision and roadmap - from early discovery and definition through to development and GTM execution. Leading cross - functional teams addressing the key challenges with finesse while moving at pace . Leading, hiring and growing a high-performing product management team - setting the bar for productcraftand driving a culture of boundless curiosity and rigorous execution. Scaling our adoption through Product -Led Growth, deepening developer experience, self-serve activation and expansion across our ideal customer profiles. Driving our Enterprise sales with frequent interactions with our key customers and prospects. Championing Speechmatics externally, be it a panel discussion at a key event , a webinar or with the C-suit of some of the largest and most game changing companies globally . Partnering with the VP, Product and exec team to shape company strategy, influence investment decisions and represent product at leadership level. Cross-functional leader with a proven track record of aligning engineering, research, design , marketing and GTM behind a shared roadmap and shipping at pace, ideally in a tech scale-up environment. Market insight to roadmap , can turn customer, competitor and market signals into a clear, prioritised roadmap with the credibility to give teams the motivation and direction to execute against it. Relevant domain experience , you'll have a s olid background in building proprietary machine learning models and /or deep speech experience are highly desired . H ands-on PLG experience scaling a developer-led or self-serve product would be a strong advantage . Scaling experience in m id-stage compan ies is also strongly preferred. Results driven and execution focused , you will t hrives forging a path through ambiguous , rapidly evolving environments without a large supporting structure around them. Senior people leader , you'll have built and grown product teams and can act as a credible partner to exec stakeholders, influencing at leadership level. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
Get Staffed Online Recruitment Limited
Ringwood, Hampshire
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role Our client is looking for an experienced Systems Engineer with a keen interest in building technical solutions to help deliver outstanding service to their customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! The Company Our client is a specialist IT Infrastructure and Support Services provider with over 25 years of experience in the industry. They are an Employee Ownership Trust and a growing company, proud winners of a Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. Our client actively encourages progression for their colleagues, offering opportunities across other teams and departments. Join a friendly company where a great team and a positive culture await you.
May 29, 2026
Full time
Systems Engineer Location: Ringwood, Hampshire + non-contractual hybrid home working Hours: 37.5 hours per week Salary: £37,000 - £40,000 DoE + Benefits + Profit share (Potential £2-3k) The Role Our client is looking for an experienced Systems Engineer with a keen interest in building technical solutions to help deliver outstanding service to their customers. You will consult directly with internal and external stakeholders to plan, implement and document technical solutions and assist in the transitions of solutions into live service. Duties Include: Consult with internal and external stakeholders to scope, define, and refine technical requirements. Design, plan, document, implement and configure technical solutions in line with project needs and industry best practice. Produce clear and detailed technical work packages to support successful project delivery. Provide technical input for estimating, scoping, Statements of Work, and both normal and emergency change requests. Support the transition of solutions into live service, including documentation, process development, training, and knowledge transfer. Maintain consistent deployment practices across customers and projects. Identify and escalate any serious issues, risks, or non conformities promptly. Collaborate closely with project managers, providing clear technical insight to support planning and delivery. Skills and Experience 2+ years of experience in a similar role, within large, diverse enterprise environments. Strong troubleshooting and problem-solving skills. Excellent working knowledge in IP Networking (WAN/LAN), including designing, planning, delivering, and optimising complex, distributed network solutions. Hands-on experience configuring and managing routers, switches, wireless solutions, and firewalls across multi vendor environments. Good cyber security awareness, with understanding of security best practices. Familiarity with Microsoft technologies such as Active Directory Domain Services, Microsoft System Center (e.g., MECM), Microsoft Azure, M365/Office 365, and Microsoft Intune (desirable). Operating system experience across Windows Server 2016/2019/2022 and associated technologies (Hyper V, Failover Clustering, Certificate Services, Windows Admin Center, SQL Server) (desirable). Knowledge of antivirus tools, including Microsoft Defender for Endpoint. Committed to continuous learning and actively pursuing vendor certifications Ability to follow and produce detailed technical documentation. Strong communication and stakeholder management skills. Able to work independently and collaboratively in a fast-paced environment High attention to detail with a proactive, ownership-driven approach. This role is subject to a clear standard DBS check being received. The Package Company Profit Share (first £3,600 is tax free) 22 days annual leave plus bank holidays, increasing with length of service Birthday as additional paid leave Additional paid leave (dependent on company performance) Company sick pay policy Pension Scheme Private Medical Insurance including dental Free Parking Hybrid Working Progression opportunities Fresh fruit, the occasional pizza and a posh coffee machine! The Company Our client is a specialist IT Infrastructure and Support Services provider with over 25 years of experience in the industry. They are an Employee Ownership Trust and a growing company, proud winners of a Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, and technical consultancy. Our client actively encourages progression for their colleagues, offering opportunities across other teams and departments. Join a friendly company where a great team and a positive culture await you.
As Director, Product, you'll own the strategy and roadmap for our largest and fastest growing use cases , and product as a whole . You'll translate market,customer and competitor insight into a clear productvision and orchestrate engineering , research, design, marketing and sales to land it at scale . You'll provide leadership to the company as a whole and a growing team of product managers - set ting the bar for product craft, and play a key role shaping company strategy alongside the VP, Product and the wider exec. In this company, product has huge sway about where we go, and this role is where thatinfluence lives. This is a senior, cross-functional role for someone readyto drive change and accelerate growth in an already successful company . You'll be playing a defining part in how Voice AI is adopted worldwide. What will you be doing: Owning the strategy, vision and roadmap - from early discovery and definition through to development and GTM execution. Leading cross - functional teams addressing the key challenges with finesse while moving at pace . Leading, hiring and growing a high-performing product management team - setting the bar for productcraftand driving a culture of boundless curiosity and rigorous execution. Scaling our adoption through Product -Led Growth, deepening developer experience, self-serve activation and expansion across our ideal customer profiles. Driving our Enterprise sales with frequent interactions with our key customers and prospects. Championing Speechmatics externally, be it a panel discussion at a key event , a webinar or with the C-suit of some of the largest and most game changing companies globally . Partnering with the VP, Product and exec team to shape company strategy, influence investment decisions and represent product at leadership level. Cross-functional leader with a proven track record of aligning engineering, research, design , marketing and GTM behind a shared roadmap and shipping at pace, ideally in a tech scale-up environment. Market insight to roadmap , can turn customer, competitor and market signals into a clear, prioritised roadmap with the credibility to give teams the motivation and direction to execute against it. Relevant domain experience , you'll have a s olid background in building proprietary machine learning models and /or deep speech experience are highly desired . H ands-on PLG experience scaling a developer-led or self-serve product would be a strong advantage . Scaling experience in m id-stage compan ies is also strongly preferred. Results driven and execution focused , you will t hrives forging a path through ambiguous , rapidly evolving environments without a large supporting structure around them. Senior people leader , you'll have built and grown product teams and can act as a credible partner to exec stakeholders, influencing at leadership level. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
May 29, 2026
Full time
As Director, Product, you'll own the strategy and roadmap for our largest and fastest growing use cases , and product as a whole . You'll translate market,customer and competitor insight into a clear productvision and orchestrate engineering , research, design, marketing and sales to land it at scale . You'll provide leadership to the company as a whole and a growing team of product managers - set ting the bar for product craft, and play a key role shaping company strategy alongside the VP, Product and the wider exec. In this company, product has huge sway about where we go, and this role is where thatinfluence lives. This is a senior, cross-functional role for someone readyto drive change and accelerate growth in an already successful company . You'll be playing a defining part in how Voice AI is adopted worldwide. What will you be doing: Owning the strategy, vision and roadmap - from early discovery and definition through to development and GTM execution. Leading cross - functional teams addressing the key challenges with finesse while moving at pace . Leading, hiring and growing a high-performing product management team - setting the bar for productcraftand driving a culture of boundless curiosity and rigorous execution. Scaling our adoption through Product -Led Growth, deepening developer experience, self-serve activation and expansion across our ideal customer profiles. Driving our Enterprise sales with frequent interactions with our key customers and prospects. Championing Speechmatics externally, be it a panel discussion at a key event , a webinar or with the C-suit of some of the largest and most game changing companies globally . Partnering with the VP, Product and exec team to shape company strategy, influence investment decisions and represent product at leadership level. Cross-functional leader with a proven track record of aligning engineering, research, design , marketing and GTM behind a shared roadmap and shipping at pace, ideally in a tech scale-up environment. Market insight to roadmap , can turn customer, competitor and market signals into a clear, prioritised roadmap with the credibility to give teams the motivation and direction to execute against it. Relevant domain experience , you'll have a s olid background in building proprietary machine learning models and /or deep speech experience are highly desired . H ands-on PLG experience scaling a developer-led or self-serve product would be a strong advantage . Scaling experience in m id-stage compan ies is also strongly preferred. Results driven and execution focused , you will t hrives forging a path through ambiguous , rapidly evolving environments without a large supporting structure around them. Senior people leader , you'll have built and grown product teams and can act as a credible partner to exec stakeholders, influencing at leadership level. We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case - making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first-job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are.We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Create a Job Alert Interested in building your career at Speechmatics? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about us? Select Are you authorised to work in the country where this job is located? Select Have you worked for Speechmatics in the past? Select Are you currently a Speechmatics employee? Select Would you like to make us aware of any adjustments needed for your interview process? Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company. How old are you? Select What is your gender identity? Select Do you identify as trans? Select What is your ethnicity? Select How would you describe your sexual orientation? Select Do you consider yourself to have a long-term health condition, impairment or disability? Select What is your religion? Select By checking this box, I consent to Speechmatics collecting, storing, and processing my responses to the demographic data surveys above.
