Jobs at OpenAI

Build and ship polished, high-performance interfaces for the Codex desktop app and IDE extension. Partner with design to develop interaction models for AI-agent workflows, including delegation, timelines, progress, handoffs, review, and controls. Own frontend architecture, component systems, state management, navigation, rendering performance, testing, instrumentation, and reliability while collaborating with platform, model, and backend teams.

Partner with startups to identify high-impact Codex use cases, build AI coding workflows and integrations, resolve technical issues, and drive sustained adoption. Lead technical talks, demos, workshops, hackathons, and developer programs. Create reusable code examples, guides, and tools, while translating customer feedback into improvements for OpenAI’s Product, Research, and Engineering teams.

Leads OpenAI’s public-sector accounts across the UK, Middle East, and Latin America. Responsibilities include building account strategies, developing and closing complex government opportunities, navigating procurement and security requirements, coordinating partners and internal teams, guiding AI adoption, managing customer outcomes, forecasting pipeline, and maintaining executive relationships. The role requires substantial public-sector or international experience, AI and enterprise technology fluency, diplomatic judgment, and willingness to travel internationally.

Develop country strategies for European markets, identify growth opportunities, and drive initiatives from analysis through launch, measurement, and iteration. Lead market expansion and localization, improve acquisition, engagement, retention, conversion, and monetization, and align cross-functional teams around shared outcomes. Represent European customer insights in global decisions and scale successful local approaches across EMEA. This individual-contributor role requires analytical rigor, hands-on execution, senior stakeholder communication, and influence without formal authority.

Owns technical strategy and customer outcomes for enterprise AI adoption across ChatGPT Enterprise, the OpenAI API, Codex, and agentic solutions. Leads executive discovery, AI architecture, technical evaluations, prototypes, production-readiness planning, adoption roadmaps, and measurable business impact. Partners with sales, engineering, deployment, security, product, research, and implementation teams while advising CTO, CIO, CISO, and engineering stakeholders.

Leads OpenAI’s Applied AI Architect team across Europe, developing technical strategy and operating models for strategic enterprise customers. Oversees customer journeys from discovery through production adoption, coaches senior architects, manages resources, advises executives, and coordinates Sales, Product, Engineering, Research, Security, Legal, Privacy, and deployment specialists. Ensures secure, scalable architectures, responsible AI adoption, measurable customer outcomes, portfolio health, and expansion opportunities.

Design, build, evaluate, debug, and deploy AI systems for quantitative investment and trading firms. Develop prototypes, integrations, evaluation harnesses, production accelerators, and reusable architectures. Partner with quant researchers, engineers, executives, and security teams to address reliability, latency, cost, safety, governance, and adoption. Lead technical workshops, diagnose implementation issues, and translate customer feedback into product requirements.

Solve ambiguous operational and risk problems through data analysis, workflow design, dashboards, monitoring, alerts, and lightweight automation. Analyze complex datasets, validate pipelines and safety signals, investigate anomalies, design quality controls, and support emerging-risk detection systems. Use AI tools with testing and human oversight, communicate findings and tradeoffs, and coordinate cross-functional handoffs across Operations, Product, Engineering, Data Science, Safety, Legal, and Support.

Deliver hands-on GenAI implementations for international government customers, from identifying mission needs through architecture, prototyping, evaluation, production readiness, adoption, and handoff. Partner with agencies, technical teams, systems integrators, cloud providers, and senior stakeholders while addressing privacy, data residency, security, identity, procurement, and regulated-environment requirements. Build applications with OpenAI technologies, contribute developer resources, share best practices, provide product feedback, and manage multiple concurrent customer engagements.

Design, build, evaluate, and deploy AI-powered software development workflows using Codex. Partner with engineering organizations to move from prototypes to reliable production systems, improve developer adoption and productivity, and address model behavior, integrations, security, reliability, observability, cost, and operational readiness. Lead technical workshops, diagnose implementation challenges, develop evaluation systems, and translate deployment insights into product feedback, reusable architectures, and technical resources.

Lead end-to-end deployment of frontier AI models for strategic customers, from discovery and system design through production rollout. Build full-stack systems, contribute production code, guide customer adoption, manage delivery trade-offs, and codify reusable tools and playbooks. Partner with customer engineering, Product, Research, Security, GRC, Partnerships, and GTM teams while providing feedback to improve models and product roadmaps. Professional fluency in Spanish and English is required, with travel up to 50%.

Build backend infrastructure and customer-facing workflows for AI agents in secure enterprise cloud environments. Develop Go services and APIs, cloud provisioning, orchestration for long-running parallel tasks, integrations with developer tools, and security controls such as permissions, credential handling, isolation, and auditability. Own production quality through testing, rollouts, observability, performance, and reliability while collaborating with customers, frontend, infrastructure, and security teams.

Lead post-sales enablement for OpenAI products, including ChatGPT Enterprise and Agents. Design and deliver onboarding, workshops, advanced training, executive briefings, and adoption programs for business and technical audiences. Drive activation, sustained usage, product expansion, and measurable business value across enterprise customers. Develop reusable training assets and playbooks, gather customer feedback, identify adoption patterns, and collaborate with Sales, Solution Architects, Delivery Leads, and product teams.

Own the technical strategy and customer journey for a portfolio of education institutions adopting OpenAI solutions. Lead discovery, architecture design, technical evaluations, prototypes, adoption roadmaps, governance, deployment readiness, and value realization. Build relationships with executive, academic, research, and technical stakeholders while coordinating specialist teams. Translate education needs into responsible AI use cases and reusable architectures, track adoption and customer impact, and provide feedback to Product, Engineering, and Research.

Own executive relationships with large life sciences accounts to drive adoption of OpenAI technology. Lead complex, multi-stakeholder sales cycles across R&D, medical, regulatory, and commercial teams; design pilots with solutions and research engineering; ensure compliance with privacy and security requirements; manage revenue and pipeline targets; monitor regulatory trends and represent OpenAI at industry events.

As a Software Engineer in Infrastructure Reliability, you'll design and build resilient systems, optimize performance, improve automation, and collaborate with teams to enhance infrastructure reliability.

Develop and scale new LLM architectures, run and analyze training experiments, debug and optimize model and compute performance, and contribute to training and inference infrastructure. Work collaboratively to improve model intelligence, efficiency, and capabilities. Role is hybrid, based in London with relocation assistance.

Design, build, evaluate, and deploy AI systems for enterprise customers. Responsibilities include creating prototypes and production integrations, diagnosing implementation issues, making decisions about reliability, security, governance, latency, cost, and safety, and helping customers scale adoption. The role also develops reusable architectures, tooling, playbooks, and technical guidance while partnering with customer and internal engineering, product, research, security, and go-to-market teams.

Build and operate backend systems, workflow tooling, and data pipelines to support lawful data access requests. Implement least-privilege, audit trails, approval gates, and data-minimization. Partner with Legal and Operations, automate responsibly, and own production reliability, observability, incident response, and documentation while shaping privacy infrastructure.

Build and operate backend systems, workflow tooling, and data pipelines for lawful data access requests. Implement least-privilege access, audit trails, data minimization, and approval gates. Partner with Legal and Operations to translate requirements into secure, auditable, and operator-friendly systems. Own production reliability, testing, observability, and incident response while defining reusable privacy infrastructure.