OpenAI

About the team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real world AI applications. The Codex Deployment Engineering team focuses on enabling organizations to adopt next generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows - from early experimentation and pilot design through enterprise scale production rollout - ensuring AI enhanced developer experiences are reliable, secure, and deeply embedded within customer environments. About the role We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands on with customer development teams to design AI enabled workflows, deploy production ready solutions, and establish scalable patterns for AI powered software development. As a manager, you will define how deployment engagements operate at scale - setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights. Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations. This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead, hire, and mentor a high performing team of AI Deployment Engineers supporting Codex customers across strategic accounts. Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption. Guide teams in designing and implementing AI enhanced development workflows, automations, and scalable deployment architectures. Act as the senior technical escalation point for complex customer implementations and deployment challenges. Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities. Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools. Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders. Synthesize insights from customer deployments and translate them into actionable feedback for internal teams. Champion safe, reliable, and effective adoption of AI powered development workflows across industries. You might thrive in this role if you: Have 8+ years of experience in technical customer facing roles such as deployment engineering, solutions architecture, technical consulting, or post sales engineering. Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers. Have experience deploying Generative AI, developer platforms, or cloud based software solutions into production environments. Possess hands on technical experience with software development systems and programming languages such as Python or JavaScript. Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows. Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders. Thrive in ambiguous, fast moving environments and enjoy building new operating models and teams from first principles. Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via a link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

OpenAI is seeking an experienced engineer to help scale Codex from a powerful tool into a production grade teammate for entire organizations. You will work with internal OpenAI teams and external customers to deploy, operate, and trust Codex in demanding real world environments. You will design secure, observable, full stack systems, own end to end deployments, and drive ecosystem capabilities that enable large scale adoption across teams, APIs, and enterprise surfaces.

About the Team With Codex we're building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the art AI systems that can write code, reason about software, and act as intelligent agents for developers and non developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we're focused on turning Codex from a powerful individual tool into a production grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real world environments. As Codex's consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real world team requirements into robust, repeatable, and scalable product and platform capabilities. You will work directly with a small set of deeply engaged design partner customers using their real deployments to surface opportunities, and what's required for Codex to succeed inside modern engineering organizations. Those insights will drive what you build across product, infrastructure, deployment patterns, and ecosystem capabilities for all teams using Codex. This role owns systems end to end: from architecture and implementation to production operations with a strong bias for both quality and velocity. In this role, you will: Shape the evolution of Codex by identifying how teams actually use (and break) AI powered software engineering, and driving changes across product, infrastructure, ecosystem surfaces, and model behavior to make Codex a truly reliable teammate for organizations. Build the core ecosystem, team, and enterprise primitives that make Codex usable at scale, including plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used. Design and own secure, observable, full stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data access patterns that are performant, compliant, and trustworthy. Lead real world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real world feedback into scalable product, platform, and ecosystem improvements. You might thrive in this role if you: Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security. Enjoy building cross cutting platform capabilities that unlock product velocity, and you're comfortable working across services, APIs, end user product surfaces, and extensibility systems. Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls. Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams. Enjoy 0 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade offs. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's Affi rmative Action and Equal Employment Opportunity Policy Statement Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is seeking a highly motivated and experienced VC Partnerships Manager to join our Startups Go To Market team. You will play a critical role in managing relationships with top venture capital funds and startup accelerators, with the goal of providing exceptional support to the portfolio companies of these funds. We believe that many of the most disruptive and category defining AI applications will be created by startups. The Startup Go To Market team's mission is to help startups harness the power of AI models to drive these advances. You will support startups across stages with resources that help them get started with OpenAI APIs and build quickly, and provide access to OpenAI teams, community, and expertise to support their growth. This role is a mixture of technical understanding, vision, partnership, and strategy. You'll be responsible for forming and managing partnerships with top venture investors, accelerators, and other partners in the startup ecosystem, as well as working across the OpenAI organization to help startups accelerate their progress and be successful using our models. You'll work cross functionally with product, research, engineering, marketing, support, and solutions architecture to help customers get the most out of our models. This role is based in our London office. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees. In this role, you will: Manage and develop a set of partner level relationships with top venture capital funds, startup accelerator programs, and other external partners in the startup ecosystem. Develop strategies to drive adoption of OpenAI's models among thousands of startups and ensure companies have the resources they need to build quickly and effectively using OpenAI's models. Identify opportunities for 1:many engagements and events for founders, and execute in collaboration with VC firm and internal teams. Provide technical guidance to startups in 1:1 engagements, in partnership with internal technical teams. Represent OpenAI at startup ecosystem events and speaking engagements. Analyze key metrics within startup portfolios and create reports and provide insights to internal and external stakeholders. Contribute to the development of programs and strategic initiatives focused on startup customers. Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups. Closely monitor the industry landscape and startup landscape to contribute to product roadmap and other corporate strategies. Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. Support the recruitment and onboarding of other teammates. Support the development of company culture. We're seeking someone with experience including: Passion for the startup ecosystem and supporting the growth of fast growing companies. Experience as a founder of a venture backed startup (preferably a technical founder), a venture capital investor, or early employee at a fast growing startup. Technical understanding of AI technologies and AI product landscape. 10+ years experience managing high value external relationships (e.g., customers, partners, investors, Board of Directors) and working directly with founders and C level executives. Communicating technical concepts to customers and internal stakeholders. Leading high visibility customer engagements (e.g., conferences, 1:many events, product launches, etc.). Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence. Public speaking ability. You might thrive in this role if you: Are customer centric. You are motivated to deeply understand your customer's priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You're excited to educate our customers on AI and how to plan for the future. Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. Are excited by new challenges. You don't have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You're willing to experiment with new solutions. Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

OpenAI is seeking a highly motivated VC Partnerships Manager in London to manage relationships with top venture capital funds and startup accelerators. This role involves supporting startups and ensuring they have the resources needed to leverage AI models effectively. The ideal candidate has at least 10 years of experience in managing high-value external relationships and a passion for the startup ecosystem. OpenAI offers a hybrid work model and relocation assistance.

Training, Process Management Engineer Runtime - London, UK About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer, you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100's of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Rust, building high-performance asynchronous systems with a strong emphasis on performance, correctness, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often don't work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure. We're looking for people who love optimizing an end-to-end platform, understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. We're looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack. This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Work across our Python and Rust stack Design, build, and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers Profile and optimize our software stack to support computation orchestration at frontier scale Improve reliability, observability, and fault tolerance for long-running jobsDebug complex distributed systems issues across large clusters Respond to the changing shapes and needs of the ML systems to enable our researchers You might thrive in this role if you: Have experience developing distributed systems (not just operating them) Enjoy understanding how large systems behave and fail at scale Care deeply about performance, correctness, and reliability Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C++) Have solid Linux knowledge, and are comfortable with systems-level debugging, performance analysis, and memory profiling Are comfortable and experienced working and developing asynchronous and concurrent systems Like high-ownership environments with light process and strong engineering agency We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

OpenAI is hiring a Data Scientist to work on critical safety issues in AI. This position involves solving complex problems, measuring harmful behaviors, and improving safety classifiers. Ideal candidates should have strong statistical reasoning, experience in observational analysis, and proficiency in SQL and Python. This role promises high-impact work in a highly collaborative environment, contributing to the responsible deployment of AI technologies in London or other specified locations.

About the Team OpenAI's Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company's most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users. We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. This is a high-impact role operating at the intersection of product, safety, policy, and research. About the Role As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions. Depending on your background and team alignment, you may work on areas such as: Measure harmful or abusive behavior across OpenAI's products Detect fraud, manipulation, coordinated misuse Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows Design experiments and causal analyses to understand product, policy, and mitigation impacts Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs Translate ambiguous safety risks into measurable problems and evidence-based recommendations Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes Build zero-to-one analytical systems in rapidly evolving domains Ideal Candidate We're looking for strong Data Scientists who thrive in ambiguous, high-leverage environments. You may be a fit if you have: Strong statistical reasoning and analytical judgment Experience with experimentation, causal inference, or observational analysis Strong SQL and Python skills Experience working with messy, incomplete, or noisy datasets Ability to structure open-ended business or risk problems Excellent communication with technical and non-technical stakeholders High ownership and comfort operating independently Helpful backgrounds include: Trust & Safety / Integrity Fraud & abuse Security analytics AI/ML model measurement and evaluation Alignment and AI safety research Biosecurity, synthetic biology, infectious diseases, or computational biology Why This Role Work on mission-critical problems with world-level impact Help shape how frontier AI systems are deployed safely Operate with unusual ownership and visibility Solve novel problems where there are no existing playbooks Join highly collaborative teams working across OpenAI Location San Francisco, New York, or London depending on team alignment and business need. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI global applicant privacy policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Team ChatGPT Engineering builds and operates the compute platform powering one of the world's largest AI products. Every ChatGPT conversation relies on massive GPU clusters serving inference workloads with high reliability, efficiency, and performance. As our GPU fleet continues to grow, we're investing in the infrastructure that operates it. Our team builds the tooling, automation, and intelligent systems that make GPU infrastructure scalable, observable, and increasingly autonomous. We work across production engineering, distributed systems, capacity management, and AI-powered operational tooling to help researchers and product teams move faster while maximizing the efficiency of every GPU. This is a unique opportunity to work on infrastructure at the frontier of AI, where small improvements in fleet efficiency, reliability, and automation have an outsized impact on the development and deployment of AGI. About the Role We're looking for a Software Engineer with deep experience operating large-scale GPU or compute infrastructure. You'll design and build the systems that manage GPU clusters at scale-from fleet health and capacity planning to operational automation and intelligent agents that reduce manual intervention. You'll partner closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and overall compute utilization. This role is ideal for engineers who enjoy solving complex operational challenges, building internal platforms, and working on infrastructure that directly powers frontier AI. In This Role, You Will Design, build, and operate software that manages large-scale GPU infrastructure supporting ChatGPT inference. Build internal platforms, tooling, and AI-powered agents that automate fleet operations and reduce operational overhead. Improve observability, reliability, and operational efficiency across thousands of GPUs. Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response. Identify infrastructure bottlenecks and implement solutions that improve utilization, scalability, and performance. Partner closely with research, platform, networking, and systems teams to continuously improve our compute platform. Help establish engineering best practices around operational excellence, automation, and infrastructure reliability. You Might Thrive in This Role If You Have experience operating large-scale production infrastructure, preferably GPU clusters or other compute-intensive distributed systems. Have a background in Production Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, or Platform Engineering. Have built software that automates operational workflows rather than relying on manual processes. Have experience with Kubernetes, Linux systems, container orchestration, or distributed infrastructure. Understand infrastructure observability, monitoring, capacity planning, and incident management. Enjoy identifying cross-team pain points and building reusable platforms that improve developer productivity. Are comfortable working across software engineering and systems operations, owning problems end-to-end. Thrive in fast-moving environments with significant technical ambiguity. Qualifications 5+ years of software engineering experience building production infrastructure. Strong programming skills in Go, Python, C++, Rust, or similar systems languages. Experience designing and operating highly available distributed systems. Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms. Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling. Excellent debugging, systems design, and operational problem-solving skills. Strong communication skills and experience collaborating across engineering organizations. Equal Opportunity Employment We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Legal Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

OpenAI is seeking a Software Engineer to design and operate large-scale GPU infrastructure powering ChatGPT workloads. You will build systems for fleet health, capacity planning, and automation, collaborating with infrastructure, research, and product teams to improve reliability and compute utilization. This role suits engineers who enjoy solving operational challenges, building internal platforms, and advancing infrastructure that scales with frontier AI in a fast-moving environment.

OpenAI is seeking a Software Engineer for the Codex Enterprise team in London. You will help develop Codex into a robust tool for organizations, enhancing its capabilities and usability at scale. This role requires strong software engineering skills and an ability to work on the complete lifecycle of product development, from deployment to user feedback. Join us in revolutionizing AI tools for developers.

Software Engineer, Codex Enterprise Codex - Engineering - London, UK About the Team With Codex we're building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we're focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex's consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and platform capabilities. You will work directly with a small set of deeply engaged design-partner customers using their real deployments to surface opportunities, and what's required for Codex to succeed inside modern engineering organizations. Those insights will drive what you build across product, infrastructure, deployment patterns, and ecosystem capabilities for all teams using Codex. This role owns systems end-to-end: from architecture and implementation to production operations with a strong bias for both quality and velocity. Responsibilities Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, ecosystem surfaces, and model behavior to make Codex a truly reliable teammate for organizations. Build the core ecosystem, team, and enterprise primitives that make Codex usable at scale, including plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used. Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy. Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product, platform, and ecosystem improvements. Qualifications Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security. Enjoy building cross-cutting platform capabilities that unlock product velocity, and you're comfortable working across services, APIs, end-user product surfaces, and extensibility systems. Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls. Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams. Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Equal Opportunity Statement We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background Checks and Legal Compliance Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. Accommodations We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. As a Forward Deployed Engineer in London, you will own end-to-end deployments, from discovery to production rollout, working directly with customer engineering and domain teams. You will measure success by production adoption and impact on workflows, collaborating with Product, Research, Partnerships, GRC, Security, and GTM.

Forward Deployed Engineer - London OpenAI Careers Forward Deployed Engineer - London Model Deployment for Business - London, UK OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer facing work Have scoped and delivered complex systems in fast moving or ambiguous environments Write and review production grade code across frontend and backend using Python, JavaScript, or comparable stacks Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience Simplify complexity and make fast, sound decisions under pressure Communicate clearly with engineers, product teams, and customer stakeholders Spot risks early and adjust without slowing down Model calm and judgment when the stakes are high About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via a link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

OpenAI is seeking a solutions-oriented technical leader based in London. This role focuses on helping customers realize business value from OpenAI's technologies, engaging deeply to design and deploy Generative AI solutions. The successful candidate will collaborate with various teams, establish strategic roadmaps, and ensure effective deployments. With a hybrid work model and relocation assistance, this position offers a dynamic environment to influence AI strategies for diverse clients.

OpenAI is seeking a technically proficient engineer to join the AI Deployment Engineering team in London. The successful candidate will work with strategic startup customers to optimize systems and contribute to product improvements. Responsibilities include debugging workflows, prototyping evaluations, and translating customer insights into technical signals. This role requires strong software engineering skills and the ability to communicate effectively across technical and non-technical audiences. The position offers relocation assistance and follows a hybrid work model.

The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI's technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands on technical depth with strong product judgment, helping translate complex, high value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI's research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer grounded learnings influence roadmap and model development. Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases. Operate with strong judgment in ambiguous environments, balancing immediate technical problem solving with longer term system improvement. Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You'll thrive in this role if you: Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end to end is a strong plus. Have experience as a technical founder, or engineer at an early stage startup. Have familiarity with, or interest in, model training pipelines and reinforcement learning. Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals. Can move fluidly between prototyping, debugging, evaluation design, and cross functional collaboration. Communicate clearly across technical and non technical audiences. Bring high agency, strong product sense, and a bias toward building durable improvements rather than one off fixes. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Program Manager, Technology Capital Builds IT - London, UK Responsibilities Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one. Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality. Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience. Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements. Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks. Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio. Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio. Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness. Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place. Qualifications Strong project and program management capabilities. Strong knowledge of the architectural design process (schematic design, design development, construction documents). Strong knowledge of commercial real estate construction processes. Excellent written and verbal communication skills. Vendor management experience (vendor vetting, RFP and bid response, performance management, handover). Understanding of mechanical power, cooling systems and capacity planning. Ability to read construction and engineering plan drawings. PMP or equivalent project management certification.

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. This role is based in our London office. We use a hybrid work model (3 days per week in the office) and offer relocation assistance for new employees. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Equal Opportunity Employment We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Policy and Compliance For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws. We are committed to providing reasonable accommodations to applicants with disabilities. Privacy and Contact OpenAI Global Applicant Privacy Policy

OpenAI is seeking a Program Manager for Technology Capital Builds in London, UK. This role involves ensuring new sites are launched with reliable ISP connectivity and overseeing the successful coordination of construction projects. The ideal candidate should have strong project management capabilities, knowledge of construction processes, and excellent communication skills. Responsibilities include managing vendor relationships, ensuring system integrations meet security standards, and providing leadership visibility into project statuses. A PMP certification is preferred alongside significant experience in real estate construction.