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Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The Ads Data team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. At our core is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for Disney's addressable Ad Platforms. The right person for this role should have extensive experience on big data as well as solid expertise on backend services or full stack. If you are someone who is proactive, hardworking, and enthusiastic in these domains, this is a phenomenal role for you! Responsibilities and Duties of the Role: Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test Contribute to ground-breaking innovation and apply the state-of-the-art technologies As a key member of the team, you will contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment Own end-to-end delivery of substantial features or subsystems. Promote a positive, inclusive, and collaborative engineering culture. Identify and resolve root causes of complex production issues. Provide constructive feedback and mentorship to junior engineers. Required Education, Experience/Skills/Training: Bachelor in computer science or similar quantitative field, or equivalent experience 5+ years of professional programming in Scala, Python, and etc. 3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies Deep understanding of data modeling, distributed systems, and performance optimization Knowledge of system, application design and architecture Experience of building industry level high available and scalable service Passion about technologies, and openness to interdisciplinary work Excellent communication and collaboration skills Preferred Qualifications: Hands-on experience with Databricks for development and deployment of data pipelines. Experience with data governance, compliance, or observability tooling. Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc. Experience with Snowflake, Kinesis, lambda etc. Experience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc. The hiring range for this position in Santa Monica, CA is $138,900 - $186,200 per year, in San Francisco, CA is $152,100 - $203,900 per year, in Seattle, WA is $145,400 - $195,000 per year, and in New York, NY is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching

Transaction Banking - Software Engineering - Analyst - London location_on London, Greater London, England, United Kingdom Your Impact What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible.Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients.Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Fulfilling your potential Transaction Banking Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 155-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team The Digital Engineering team is responsible for providing unified digital experience to our clients that interact with Transaction Banking products via different interfaces such as Banking as a Service API, client portal, Files and SWIFT network. Our mission is to build a state of the art digital interface that meets our corporate client's needs. We are starting with a clean slate and one singular goal in mind: build a highly scalable, resilient, 24x7 available cloud-based platform that our corporate clients can rely to meet their cash management needs. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. The Role Working in the Digital Engineering team, you will be responsible for the development, testing, rollout and support of new client facing features, working alongside product owners and other stakeholders. You will be working as part of our global team, and will shape and implement our strategic vision of a consumer-grade, industry beating, Digital Experience. You will participate in to a world-class engineering culture, while integrating business value and client experience within the team. We are looking for someone with lots of energy that has excellent communication skills, enjoys engineering challenges, has a passion to deliver high quality technology products and is able to operate in a highly fluid, rapidly changing environment. If that's you, we would like to hear from you. Basic Qualifications Bachelor's degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, SpringBoot, REST APIs Proficiency with algorithms, data structures and software design Experience in working with databases - NoSQL and/or Relational Ability to work independently in a fast paced and often multi-direction work environment Experience with working on high availability, mission critical systems Preferred Qualifications Experience with Microservice architectures and REST API Experience with Spring boot, Kafka, React Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience with AWS Experience with Transaction Banking, Payment domain is plus Experience in Financial Services or Fintech is good to have Practical experience with containers is a plus Comfort with Agile operating models (practical experience of Scrum / Kanban) Open API Familiarity with experience in building external API using REST and Webhooks ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). Child Care & Family Care We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer.

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail?As part of our Silicon Technologies group, you will help design & manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You will ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you'll be crafting and building the technology that fuels Apple's devices. Together, we enable our customers to do all the things they love with their devices. Description In this role, you will be responsible for power analysis & optimisation of Apple's GPU products. You will estimate the power impact of proposed features, advise on possible improvements, and set power targets. You will work with architecture team to improve energy efficiency of next generation GPUs.You will simulate the consumption of existing components of the GPU with various workloads. You will analyse the data to look for opportunities to improve the energy efficiency of new features and existing logic, and work with the micro-architecture, design and implementation teams to make improvements throughout the development process.You will be reviewing architectural and micro-architecture specifications to estimate their power impact on the GPU. You will be working with RTL and gate level simulations, emulation, and power analysis tools to generate data, analysing that data using scripts, power models, spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the team.You will share low power best-practices and design principles among the different project stake holders, and drive the development of new tools, and methodologies to aid in the efficient measurement communication and improvement of GPU energy efficiency. Minimum Qualifications Solid experience with low power RTL design & optimisation of complex digital systems Excellent understanding of power consumption and estimation of digital designs and low power design techniques Self motivated & independent worker Preferred Qualifications Proficiency in scripting languages, such as Tcl, Python or similar Experience with power estimation tools such as Primetime-PX, Power Artist or Power Pro Experience in low power RTL design & optimisation

Overview Fleet Compliance Officer Vacancy Reference: 50429 AB This role is not eligible for UK Visa Sponsorship - the successful applicant will need to have a pre-existing Right to Work in the UK in order to be offered an employment contract. Do you have experience in Transport/Compliance? Have you got strong attention to detail? Are you located within a commutable distance to the Lincolnshire area? The Company: An Agricultural business. The Job Role: In this role as Fleet Compliance Officer, you will support the business in ensuring all aspects of compliance across transport operations, working closely with the operations manager to maintain legal and regulatory standards (including EU rules 3820/85 and the Working Time Directive 2005). You will ensure accurate and timely service arrangements are pre-arranged and met in conjunction with the appropriate service agents and external agreements. The position also involves proactively building strong working relationships with service partners/agents, and ensuring smooth communication. You will be responsible for updating and communicating vehicle and driver availability to the planning team, using the resource plan and maintaining effective day-to-day communication channels. Location: Lincolnshire - Based on Site. Salary Package: £25,000 - £35,000 Basic Salary Depending on Skills and Experience + Pension + Holidays. Key Responsibilities Fleet Compliance: Responsible for dealing with all tasks related to fleet compliance using R2C. Driver Daily Checks - VOR. Checks on manufacturers service to ensure legal compliance on inspection sheets. Daily nil defects and any advisories. Ensuring the maintenance plan is kept up to date and all Inspection and MOT dates are planned including regular laden brake tests. Responsible for arranging all general servicing for the fleet in conjunction with the relevant fleet planner, including regulatory brake tests. Taking control of our In-House Resource plan by inputting truck services, repairs etc. Accurate and thorough filing of relevant paperwork. Tachomaster: Responsible for checking renewal dates on Driver Cards and DQC. Recording Missing Days. Investigating Missing Mileage. Checking all Driver and Unit Downloads are up to date. Gathering information regarding Infringements and printing them. Keeping the Infringement spreadsheet up to date. Working Time Directive Drivers: Driver Licence checks including DQC PC. Planning Driver's Holidays and weekend and bank holiday working via the driver rota and Resource Plan. Control of PPE stock and ordering of uniform. Incentive Bonus calculation. Parking set up (SNAP) etc. Resource Plan Management: Day to day management and overall responsibility for ensuring the resource plan is 100% accurate at all times. Inputting and updating the information in the resource plan around vehicle and driver availability and ensuring the planners are kept informed of any changes. Compliance Knowledge: Ensures that their knowledge of applicable law is kept up to date and accurate. Collaboration and Communication: Works closely, collaboratively and effectively with all internal stakeholders ensuring clarity and accuracy of all communications to obtain stakeholder buy in. Learning and Development: Pro-actively uses performance management software and drives own pro-active approach to learning, development and continuous improvement in role and supports the company by sharing knowledge and learnings. Culture: Promotes and behaves at all times in accordance with company values, team objectives and business objectives both internally and externally. Respect for others, positivity, integrity and accountability are key. Candidate Requirements The ideal candidate would need to work alongside the managers as part of an efficient and committed team. A background in Transport/Compliance would be desirable. You would need to be thorough, accurate and confident in your approach with good attention to detail and build good working relationships with the drivers and the dealerships. Experience with transport compliance software and understanding of driver regulations. Keywords Fleet Compliance Officer, Fleet Compliance, Transport Compliance Officer, Vehicle Compliance Officer, Transport Officer, Fleet Officer, Agricultural and Farming Jobs, Farming Jobs, Agricultural Jobs, Agri FJ. How to apply Please click on the APPLY NOW button. Please send your CV to Angel Bains - Recruitment Delivery Consultant We thank all applicants who apply for this role. However, please be advised that only those shortlisted for an interview will be contacted. Your job application will be managed in complete confidence and your personal details will not be passed to any third party without your prior permission. Established in 2013, Agricultural and Farming Jobs provide outstanding recruitment head-hunting and job advertising services. We are the trusted recruitment partner of choice to industry leading organisations across the UK and Internationally. We recruit specifically for all roles within the sectors of: Agriculture, Farming, Horticulture, Food and Fresh Produce, Vet, Pet and Animal Health, Agrochemicals, Fertilisers and Seeds, Software and Technology, Machinery, Technical and Engineering and specialist Education.

We are looking for a Research Engineer with strong software development skills to join our team. Responsibilities will include: Streamlining existing processes and assisting with the implementation of quantitative strategies Efficiently processing, storing, and retrieving extensive amounts of market data Maintenance of and improvements to proprietary backtesting framework Validation of existing models and implementation of automated regression tests Benchmarking and improving computational performance of research code Thorough examination of large volumes of post-execution data Serve as the primary resource for software engineering challenges within the broader research team The ideal candidate will possess a minimum of three years of relevant work experience. Attributes that position you as an exemplary candidate include: Strong expertise in Python, Java and SQL Advanced problem-solving skills with a meticulous attention to detail Innovative thinking, creativity, and unwavering persistence Strong motivation to automate and optimize processes Willingness to navigate system constraints and challenge existing limits Capability to efficiently construct comprehensive data analysis pipelines including advanced statistics/machine learning concepts Flexibility to work beyond standard hours when required Experience in distributed/high-performance computing A Master's or PhD degree in a highly quantitative discipline, such as mathematics, statistics, computer science, physics, or engineering is highly desirable We prioritise your programming skills, raw talent, and potential to make a meaningful impact and deliver value - over unnecessary bureaucracy This position is within front office trading, therefore, permanent remote work is not a viable option. Attractive base salary Performance-based bonus program Comprehensive Private Medical, Vision, and Dental Insurance Defined contribution pension plan 28 days of paid annual leave in addition to public holidays Complimentary lunch on Fridays Snacks and beverages Budget allocated for conferences and professional development Office located in Central London Visa sponsorship available If you find the above job description appealing, we invite you to submit your CV along with a concise cover letter that articulates your motivation for applying and highlights your suitability for the position.

Engineering Manager, Machine Learning Platform London We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ London or Remote (UK) Base salary for this role is £110,500 - £145,000 (depending on experience) + stock options + Benefits Engineering Manager, Machine Learning Platform Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling. The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. The Role We are seeking an experienced leader in Machine Learning Platform Engineering to guide a team in developing a robust, scalable, and high-performance ML platform. This platform will cover the entire ML development lifecycle, including model experimentation, training, feature engineering, and serving at scale. You will work closely with ML and Data, as well as the wider engineering discipline, to equip our teams with the tools and frameworks needed to effectively build, deploy, and scale ML-driven solutions. You'll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and the Machine Learning and Data discipline within Monzo to ensure the right projects are being built, and that the platform is being meaningfully adopted and driving positive outcomes. Actively fostering a high bar for engineering excellence within your teams. You're accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You will lead a team of 5-7 engineers, fostering their professional growth through regular 1:1s and ongoing feedback. Additionally, you will oversee the recruitment and expansion of your team as needed. Partnering with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Leading on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering and data organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer and has worked closely, in or with, ML Platforms in past roles. We recognise that engineering managers lead in different ways, we're looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It's a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. How we work : Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. Work the way that works for you with Monzo! The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They'll ask example based questions ('Tell me about a time when ') Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They're interested to hear examples from your previous experience on the teams you've led, how you've shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams - whatever's on your mind. All things going well, you'll have completed the hiring process Our average process takes around 3-4 weeks but we will always work around your availability. You'll have the chance to speak to our recruitment team throughout the process. If you'd like to ask a question sooner, email . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: Base salary range for this role is between £110,500 - £145,000 depending on experience + stock options & benefits ️ We can help you relocate to the UK We can sponsor visas We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here . click apply for full job details

Overview We're Kingfisher, a team of over 82,000 people bringing Kingfisher brands (B&Q, Screwfix, Brico Depot, Castorama and Koctas) to life. We aim to become the leading home improvement company and grow the largest community of home improvers in the world. We want you to help us achieve this ambition. At Kingfisher, customers come from all walks of life, and we are committed to treating all colleagues, future colleagues, and applicants equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation. We are open to flexible and agile working, both in hours and location. We offer a blend of working from home and our offices in London, Southampton & Yeovil. Talk to us about how we can best support you. We are looking for a Lead Platform Engineer (backend Python focus) to join our Group Data Science function, to lead and trailblaze the development and building of software platforms. You will work across our retail banners and group functions, building platform roadmaps that maximise time to value and long-term effectiveness to support our commercial goals. Responsibilities Collaborate with Tech, Product and Data teams to develop engineering platforms that enable applying and embedding data science in our products and processes. Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results. Support the Data Science Leadership Team in developing a "data culture" and demonstrating the value of data in decision-making. Provide technical leadership and support for junior members of the team. What's the job Collaborate with Tech, Product and Data teams to develop the engineering platforms that allow us to apply and embed the use of data science directly in our products and processes. Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results. Support the Data Science Leadership Team in developing a "data culture" and demonstrating the value of data in our decision-making. Provide technical leadership and support for the junior members of the team. Qualifications Excellent knowledge and experience in Django and Python backend Excellent understanding of computer science fundamentals and machine learning Proven experience of delivering several high-quality software products and experience of productionisation Proven experience of developing cloud-based services using one or more cloud providers (preferably GCP) Strong management and leadership skills - including the ability to build, organise, motivate, mentor and manage a Platform Engineering team that supports a diverse range of initiatives Sensitivity and excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority Be Behaviours Be Customer Focused - constantly improving our customers' experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human - leading with purpose, humanity and care We do the right thing We invest in our people and build great teams Be Curious - thrive on learning, thinking beyond the obvious We focus externally, globally and build the long term We experiment and share our learnings Be Agile - building trust and empowering people to work with agility We act with pace, not perfection, role modelling 80/20 We take risks, fail fast and adapt quickly Be Inclusive - inspiring diverse teams to achieve together We celebrate difference as a strength We collaborate, breaking down silos Be Accountable - owning the plan, delivering results and growth We focus on performance outcomes We prioritise and simplify for others What we offer Private Health Care - Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation). Kingfisher Pension Scheme - Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company. 25 Days' Holiday - 25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues). Staff Discount - 20% discount at B&Q and Screwfix. Eligible after 3 months service. Kingfisher Share Incentive Plan (SIP) - Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached. Life Assurance - x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member. Bonus - Competitive bonus scheme that aligns to work level of role. Kingfisher Share Save - Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October. Our Behaviours We are united by 6 core behaviours: Constantly improving our customer experience; Acting with humanity and care; Be curious; Thriving on learning, thinking beyond the obvious; Be inclusive; Acting inclusively in diverse teams to achieve together; Be agile; Working with trust, pace and agility; Be accountable; Championing the plan to deliver results and growth. Application Process Step 1: Application - Send in your application via our Kingfisher Careers website. Step 2: Review - A member of the Talent Acquisition team will review your application and let you know if you have progressed. Step 3: Interview 1 - Telephone interview/one-to-one conversation with a recruiter. Step 4: Interview 2 - Face-to-face or virtual interview. Step 5: Feedback - Recruiter will provide feedback and, if successful, details of the job offer.

About the Role Constructor's Solutions Architects are responsible for driving a diverse set of product initiatives and technical outcomes with our current client base and, often, with prospective customers. You will play a crucial role in the growth and retention of our customers by providing a unique combination of technical expertise and strategic vision to support their eCommerce and overall business objectives. This is not a role focused on demonstrating and clicking through a piece of vendor software. You will collaborate closely with our customers, understanding their needs and goals, effectively demonstrating how Constructor's AI-Powered eCommerce Search and Product Discovery Platform can be optimized to meet and exceed their expectations. Your strong technical background, combined with effective communication and a penchant for problem solving will be key in achieving sales and retention goals and building lasting customer relationships. The Solutions Architect will be focused on supporting our Account Management team, our Customer Success team, and our Product organization. You will be heavily involved in driving company strategy, product roadmap, and in enabling revenue teams. Supporting these initiatives requires someone highly collaborative, coachable and comfortable working with a variety of departments. Solutions Architects are relied on for thought leadership, the ability to write clear and value-driven documentation and aptitude for process development. The ideal candidate is a skilled listener with innate curiosity that understands the value of "why," and recognizes that "why" almost always comes before "how" and "what". They must have the personal qualities to thrive in a fast-paced sales environment and have the unique ability to gain a 360-degree view of our business to become a creative and technical go-to-market team member for Constructor. You will be required to develop a deep understanding of Constructor's search and product discovery platform, its features, capabilities, and integration methods. Staying up to date with industry trends, competitor offerings, and emerging technologies to articulate the differentiation of Constructor to prospects will be critical. Our next Solutions Architect is well-versed in enterprise eCommerce and has experience with Cloud technologies, data science and analytics/testing principles, SaaS, solution design, software development methodology, security requirements, SaaS architectures, and enterprise integrations. You are comfortable presenting to prospects and partners to showcase Constructor's differentiation and integration methodologies through a lens of technical expertise. Constructor, a 100% remote company, is in the process of building its Solutions Architect team and is seeking individuals who thrive in building out a department, and processes while helping scale out a newer function within the greater organization. This requires a proactive approach to learning and a self-starter mindset especially when faced with ambiguity. Technical Expertise This role requires a strong technical foundation. Ideal candidates should have prior experience working with APIs, data structures, testing and analytics and software integrations. While hands-on development experience is not required, prior coding experience has been beneficial in the role. Key technical expectations include: Working knowledge of front end software development principles and processes Expertise in APIs and integration with them Experience working in retail eCommerce and with various solutions that comprise retailer technology stacks Ability to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and Machine Learning concepts to both technical and non-technical audiences This role is ideal for someone who can bridge the gap between engineering and business teams, ensuring seamless communication and problem-solving in a technical environment. About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. Time Zone preferred: Eastern Time (US), Western or Central European time zones Minimum of 3+ years in technical selling and consultancy - being able to work with a range of different advanced products to meet a prospect's needs (similar roles include but are not limited to Solutions Architect, Sales Engineer, Pre-Sales Engineer, Solutions Consultant, Pre-Sales Consultant, and Solutions Design) Proven ability to translate technical concepts into business value. Demonstrated success in supporting the sales process with existing customers, from initial discovery to closing deals. Understanding of sales methodologies, negotiation techniques, and customer relationship management. Excellent verbal and written communication skills, with the ability to effectively articulate complex concepts to both technical and non-technical audiences. Active listening skills and the ability to empathize with prospects' challenges and goals. Strong analytical and problem-solving abilities A resourceful, self-starting approach A genuine passion for understanding customer needs and delivering exceptional service Proficiency with REST APIs Understanding of data science and analytics/statistics principles, the ability to articulate these concepts to both technical and non-technical audiences and the ability to tie these principles to business outcomes Experience with ecommerce ecosystems, AI/ML, JavaScript Passion for innovative technology, technical sales, value based conversations Ability to manage several projects simultaneously, work with different salespeople, and support other solutions team colleagues where needed Comfort working with system integrators and customer development teams Enjoy working with prospects and comfortable interacting with C-suite executives ️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year A competitive compensation package including stock options Fully remote team - choose where you live ️ Work from home stipend! We want you to have the resources you need to set up your home office Apple laptops provided for new employees Training and development budget for every employee, refreshed each year Parental leave for qualified employees Work with smart people who will help you grow and make a meaningful impact Diversity, Equity, and Inclusion at Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.

Overview dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail, one of the world's most competitive markets, dunnhumby today enables businesses across industries to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas, working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will focus on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and increasing automation of category decision making. Responsibilities Apply machine learning and statistical techniques to business problems. Contribute to the research and implementation of new approaches and perform data analysis and model validation. Present results to internal stakeholders. Develop dunnhumby science solutions that can be delivered across clients and engineered into science modules. Focus on improving decision making in category management by enhancing data-led understanding of products and categories, optimizing across space and range, and increasing automation of category decisions. Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3-5 years of experience. Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to handle large data volumes with modern data processing tools (e.g., Hadoop / Spark / SQL). Experience with or ability to learn open-source software including machine learning packages (e.g., Pandas, scikit-learn) and data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We'll defy expectations with a comprehensive rewards package, flexible working options, and thoughtful perks such as flexible working hours and your birthday off. You'll benefit from investment in cutting-edge technology and a nimble, small-business feel that gives you freedom to play, experiment and learn. Flexible Working We value and respect difference and are committed to building an inclusive culture where you can balance a successful career with your commitments outside of work. Some roles lend themselves to flexible options more than others, so please discuss agile working opportunities with your recruiter during the hiring process. For information about how we collect and use your personal data please see our Privacy Notice. Diversity and Inclusion At dunnhumby, we utilise diversity of thought as our competitive edge. We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work. Our diversity and inclusion work is designed to cultivate a culture of belonging where everyone feels safe to bring their whole self to work. We have a full D&I strategy and five employee-led networks to support colleagues in gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.

Overview 2026 EMEA London Engineering Summer Analyst Our Summer Analyst Program is a nine to ten week summer internship for students pursuing a bachelors / graduate degree. You will be fully immersed in our day-to-day activities. As a participant, you will: Attend orientation where you'll learn about our culture, as well as the benefits and responsibilities of being a member of the firm Receive training designed to help you succeed Have the opportunity to work on real responsibilities alongside fellow interns and our people Each applicant has the opportunity to apply to up to 4 separate business / location combinations in any given recruiting year. Any additional application will be auto withdrawn. In order to apply to an additional opportunity, you must withdraw a current application that has not been turned down. A single applicant should not create multiple email addresses to apply to additional opportunities About the division Engineering is at the critical center of our businesses. Our dynamic environment requires strategic thinking that is innovative and produces smart solutions. At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Job Info Job Category: Summer Analyst Locations: London, Greater London, England, United Kingdom Areas of the Firm: Engineering Division We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Benefits Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). Child Care & Parental Support We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer. Learn More

Overview Global Banking & Markets - KDB Developer - Vice President - London location_on London, Greater London, England, United Kingdom Opportunity Overview sitemap_outline CORPORATE TITLE Vice President language OFFICE LOCATION(S) London account_balance DIVISION Global Banking & Markets What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative workspaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office. Goldman Sachs has launched an initiative to become the top provider in equities trading by building superior technology and delivering high quality products. This vision is a multi-year investment in people, platforms and products. Join the team and participate in the development and launch of best in class products for top clients across the industry. We are looking for eager, nimble and ambitious engineers to join our growing team of visionaries, and drive Goldman Sachs to achieve and exceed our goals. Your Impact The GSET Engineering team is accountable for platform architecture evolution to meet the evolving needs of various business lines within global equities markets, meeting requirements with impactful and rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways. As a member of the team,you will liaise very closely with sales & trading and various other stakeholders to add a quantitative & solution-driven dimension to all trading products and activities, with a focus in the emerging markets area. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced, changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design,implementation, testing, support, and monitoring performance of systems and strategies used by our clients. Responsibilities Design, build and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for transaction cost analytics and execution research Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems. Design distributed computation infrastructure and libraries to run parallelized queries over large volumes of data. Design, build and maintain applications to monitor performance of trading strategies in relation to the market in real time. Use data to guide decision-making, developing or enhancing tools as necessary to collect it. Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc. Basic Qualifications Bachelors or Master's degree in computer science or engineering or equivalent experience 6 to 7 years of professional experience in a data engineering/analytics role Experience with building and managing KDB based data.analytics Experience with Python/Java/C++ based large scale streaming data analytics and storage solutions Experience with Equities transaction and market data, Transaction Cost Analytics Strong communication skills and the ability to work in a team Strong analytical and problem solving skills Experience in data driven performance analysis and optimizations. Preferred Qualifications Experience building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). Child Care & Family Care We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer.

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit About the Role The Demand Partnerships Management (DPM) team at InMobi Exchange plays a pivotal role in driving programmatic revenue by managing and nurturing relationships with Demand Side Platform (DSP) clients globally. As a top revenue investment for the company, the DPM team oversees all direct DSP integrations on the InMobi Exchange. The Senior Demand Partner Manager (DPM) will oversee a diverse portfolio of performance DSPs. This role involves cultivating strong relationships across these partners' supply, demand, and product teams, uncovering opportunities for growth through cross-sell and up-sell initiatives, and scaling accounts to maximise their potential. Key Responsibilities Own and grow relationships with performance-focused DSPs across global markets. Serve as the primary point of contact for demand partners, managing both day-to-day operations and long-term strategic initiatives. Analyze DSP performance metrics (e.g., win rates, CPM, CTR, eCPIs) and collaborate with internal teams (Product, Engineering, Operations) to improve traffic quality, auction mechanics, and outcomes. Partner with data science and yield teams to uncover opportunities for bid density, price optimisation, and DSP-specific tuning. Work closely with the product, marketing, and operationsteams to constantly optimise efforts related to Account growth and company-wide goals. Collaborate with the Supply teams to identify high-performing inventory and improve exchange integrations to maximize DSP value. Develop and execute quarterly joint business plans with key partners, including opportunity mapping, product adoption, and growth initiatives. Stay on top of mobile programmatic trends-including in-app RTB, SDK-based inventory, and performance UA/RT evolution-to guide internal strategy and positioning. Required Qualifications 5+ years of experience in programmatic advertising, preferably in a performance DSP or UA/RT-driven organisation. Proven success in managing and scaling strategic partnerships within the ad tech or performance marketing ecosystem. Deep understanding of performance UA metrics and optimisation levers used by DSPs (e.g., ROAS, eCPI, retention). Subject matter expert in performance UA and retargeting. Speak the language of CPA, ROAS, LTV, SKAN, and incrementality. Analytical and data-driven, comfortable with dashboards, cohort analysis, and performance metrics. Excellent communication and stakeholder management skills. Experience working with SDK-based inventory and knowledge of MMPs (Adjust, Appsflyer, Kochava) is a plus. Ability to thrive in a fast-paced, globally distributed team environment. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values - thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Technical Program Manager, Gemini Research to Production London, UK Role level Mid Responsibilities Develop and manage the overall program plan for GenAI development and deployment, including requirements gathering, risk assessment, and resource allocation. Work closely with researchers, engineers, and other stakeholders to define and prioritize LLM features and capabilities across various workstreams (infra, data, model, eval, deployment). Track and manage the progress of LLM development and deployment, identifying and mitigating risks, and ensuring that projects are completed on time and within budget. Communicate effectively with stakeholders at all levels to keep them informed of the program's progress and to obtain their buy-in on key decisions. Facilitate collaboration and coordination between the different teams involved in the LLM development and deployment process. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Qualifications Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience in Machine Learning Infrastructure. Preferred qualifications 5 years of experience managing cross-functional or cross-team projects. Experience in launching Machine Learning or Artificial Intelligence products from research to production. Ability to effectively operate in a dynamic, fast-paced environment and to manage multiple projects and stakeholders simultaneously. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. In this role, you will play a key role in accelerating Gemini from Research to Production. You will partner with product managers, engineers, and leadership to define roadmaps, prioritize features, and ensure reliable delivery of high velocity launches at scale. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.