Engineering Manager in United Kingdom

About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large-scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on-call, incident response, and root-cause analysis, and turn operational lea

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

Senior: GBP 73,500 - 99,500 Staff: GBP 97,300 - 131,700 Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level. About the job Build the Linux distribution foundation that turns upstream software into trusted Graphcore platform releases. You will help create the Linux distribution that powers Graphcore AI systems. The team produces production-ready system images from proven upstream distributions. Your work will shape how releases are built, validated and prepared for deployment. You will strengthen the engineering path from upstream Linux software to dependable platform releases. You will build and improve automated pipelines, run established Linux test suites, and diagnose issues across build and validation flows. As the platform evolves, you will introduce controlled configuration and tuning changes with evidence-led validation. This is hands-on systems engineering with visible impact. You will help define reliable processes for a new team building a critical part of Graphcore’s platform. The team and culture You will join one of Graphcore’s newest engineering teams, helping shape its culture from the start. It is a small, co-located team where ownership matters and progress is visible. Work happens through close technical discussion, practical problem-solving and evidence-led decisions. Ideas are challenged openly, and the best path wins regardless of hierarchy. You will report to a leader who values technical credibility and invests in people’s growth. The team moves with pace, takes responsibility and changes direction when the evidence demands it. What we're looking for Strong practical experience working in Linux environments Experience building or maintaining automated CI/CD pipelines for reliable engineering workflows Proficiency in Python, Bash or similar

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About The Team The Commerce Site Reliability Engineering team is responsible for the reliability, scalability, and day-to-day operation of the platforms that power GoDaddy's Commerce ecosystem. We build and operate shared infrastructure, support critical production systems, and partner closely with engineering teams to ensure services remain secure, resilient, and highly available. As a Senior Site Reliability Engineer, you'll join a team that values ownership, operational excellence, and continuous improvement. Engineers are empowered to identify problems, drive meaningful change, and influence how reliability is delivered across the broader Commerce organisation. From improving operational maturity and reducing toil to modernising delivery platforms and strengthening incident response practices, this team plays a key role in enabling engineering teams to move quickly and safely. You'll work closely with engineers across infrastructure, cloud, security, networking, and application teams while helping shape the future of reliability engineering at GoDaddy. This role offers significant opportunity to broaden your impact, develop technical leadership skills, and grow toward Staff and Principal engineering positions over time. What you'll get to do... Lead reliability and operational improvement initiatives across GoDaddy's Commerce platform, helping engineering teams build and operate services safely and at scale. Own critical production systems, drive incident response and post-incident improvements, and continuously raise the bar

Our Key Accounts Executive will target and close new business within the largest, most strategic prospects in key, high potential companies. In this role you’ll be focused on understanding and uncovering the pain points these companies face as they operate in or migrate to a cloud environment at scale as well as delivering the appropriate Datadog solution. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop and execute an outbound prospecting strategy tailored to specific Fortune 100 accounts Drive a strategic, multi-threaded sales motion spanning multiple stakeholders and product suites Cross-sell and navigate throughout complex accounts Create, own, and grow your own accounts, demonstrating the value of the Datadog platform Develop a deep comprehension of customer's business Work cross-functionally with marketing, and solutions engineering to drive coordinated efforts that support the outbound prospecting strategy Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years Enterprise Sales experience selling into Fortune 100 companies with the ability to win new logos Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+ Able to demonstrate methodology to prospect and build pipeline on your own Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred) Self-starter mindset and resourceful by nature

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks ass

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assu

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Software Engineer Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wre

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Software Engineer Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. The Protection Scientist Engineer, Integrity team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. About the Role Protection Science Engineering is an interdisciplinary role mixing data science, machine learning, investigation, and policy/protocol development. As a Protection Scientist Engineer within Integrity and Investigations, you will be responsible for designing and building systems to proactively identify and enforce on abuse on OpenAI’s products. This includes ensuring we have robust abuse monitoring in place for new products, sustaining monitoring for existing products, and prototyping and incubating systems of defense against our highest risk harms. You will also respond to and investigate critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams. This role is based in our London office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. In this role, you will: Scope and implement abuse monitoring requirements for new product launches. Improve processes to sustain monitoring operations for existing products, including developing approaches to automate monitoring subtasks. Prototype and mature into product

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. Account Strategy Lead technical discovery sessions to uncover customer challenges, understand pain points, and determine where Postman can provide the most value. Build and nurture strong relationships with technical leaders and decision-makers. Provide guidance on best practices for leveraging Postman effectively throughout the entire API lifecycle. Collaborate with customers to set clear success criteria, design and deliver tailored proofs of concept, and bring those goals to life through engaging demos, workshops, and hands-on sessions that highlight Postman’s strengths. Work closely with Sales, Product, and Customer Success teams to ensure alignment across plans and execution, driving outcomes that support customer goals. Customer and Industry Insights Maintain a deep understanding of Postman’s capabilities, the API ecosystem, and industry trends (e.g., AI in API design, DevOps, and API security). Collect and share customer insights with Product and Engineering teams to influence roadmap decisions and enhance overall customer experience. Marketing and Evangelism Represent Postman at industry events, conferences, and webinars. C

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake brings AI-native observability to the Snowflake AI Data Cloud helping engineering and data teams debug, optimize, and understand systems operating at massive scale. Modern systems don’t break at GB/day they break at TB/day. Traditional, index-based observability tools weren’t built for this world. Observe by Snowflake unifies telemetry and business data, applies AI to connect context automatically, and reduces time to resolution from hours to minutes. We’re entering the next phase of growth: scaling to $1B in the next 5 years. We’ve moved successfully upmarket into complex enterprise deals, larger ACVs, and strategic customer relationships. This is a high-impact role for a seller who wants to operate at the intersection of AI, data infrastructure, and modern engineering and help define a new category. WHAT YOU’LL DO Own full-cycle enterprise sales, from self-sourced pipeline through close Build and convert pipeline in a high-velocity, high-ACV environment (now ~$400K+ enterprise deals) Lead technical, consultative conversations around AI-driven observability and data strategy Sell into engineering, SRE, and data leaders solving problems at TB-scale Drive $500K plus land-and-expand motions with multi-million dollar growth potential Work cross-functionall

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Product Architect Mastercard powers economies and empowers people in more than 200 countries and territories worldwide. Together with our customers, we are building a sustainable economy where everyone can prosper. Through secure, simple and accessible digital payments, our technology, partnerships and networks help people, businesses and governments reach their full potential. A2A Risk Solutions: Principal Product Architect We are seeking a Principal Product Architect to join our award-winning Account-to-Account (A2A) Risk Solutions team. Our products combine advanced data science and payments expertise to help financial institutions combat fraud and financial crime. This role will be central to designing and scaling Mastercard's global A2A Risk Solutions. Working closely with product, engineering, data science, customers, financial institutions and technology partners, you will define scalable architecture patterns, shape technology strategy and support expansion into new markets. Responsibilities Define and maintain solution architectures that align with business objectives, product requirements and architectural principles. Translate business, customer and market requirements into scalable, secure and resilient technical designs. Lead architecture for A2A fraud and f

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Senior UX Designer - DTC Leeds or London (In office 3 days/week) About the role SharkNinja is seeking a strategic, highly skilled Senior UX Designer to join our Global Digital Store Centre of Excellence. This role will be instrumental in shaping and delivering best-in-class user experiences across our global direct-to-consumer (DTC) websites. As a Senior UX Designer, you will combine strategic UX thinking with hands-on design craft, leading the end-to-end experience from research and insight through user flows, wireframes, prototypes and high-fidelity UI. You will help define global UX principles while ensuring experiences are grounded in customer needs, business objectives and measurable performance. You’ll partner closely with Product, Engineering, Creative, Marketing, CRO, Analytics and r