Jobs at OpenAI

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.

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.

Lead advertising measurement science for OpenAI Ads, partnering with sales, advertisers, agencies, product, engineering, and data science. Apply attribution, incrementality, experimentation, marketing mix modeling, auction optimization, and statistical analysis to improve media performance. Build scalable measurement programs, privacy-forward partner integrations, advertiser insights, reporting tools, and workflows. Translate complex analytical findings into actionable recommendations for technical and executive audiences while maintaining rigorous standards for quality, transparency, and responsible interpretation.

Establish and scale EMEA Deal Strategy while personally leading complex, high-value commercial opportunities from strategy through closure. Develop deal strategies, proposals, ROI analyses, business cases, negotiation playbooks, and reusable commercial frameworks. Partner cross-functionally with Sales, Pricing, Finance, Product, Legal, and Operations, support executive customer conversations, improve deal workflows using AI, and translate strategic deal insights into scalable regional operating models.

Design and build foundational backend and data systems for detecting, tracking, and enforcing against platform abuse and harm. Collaborate with policy, trust and safety, legal, investigations, engineers, and data scientists. Apply advanced AI capabilities to automate harm detection and response while adapting systems to evolving adversarial threats.

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.

Lead AWS/OpenAI co-sell pursuits by qualifying and shaping large GenAI and cloud transformation deals. Align AWS and OpenAI field teams, develop value propositions, drive executive engagement, coordinate cross-functional stakeholders, build repeatable co-sell playbooks, manage pipeline and forecasts, and serve as trusted strategic advisor to close complex enterprise opportunities.

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.

Design and build distributed systems for large-scale AI training, focusing on performance, stability, monitoring, and debugging of infrastructure.

Design, operate, troubleshoot, and automate secure enterprise routing, switching, wireless, WAN, and cloud connectivity. Balance platform architecture, standards, lifecycle planning, and automation with incident response, change safety, and operational delivery. Reduce recurring reactive work through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD.

The role involves conducting research on AI safety, implementing methods in model training, and collaborating with teams to ensure high safety standards in deployed AI systems.

Research and develop novel safety mitigations for frontier AI systems: measure emerging risks, build and refine evaluations, design red-teaming pipelines, set research directions, and collaborate across domains (misalignment, cybersecurity, biology) to ensure enforceable, scalable, and effective safety stacks.

Partner with OpenAI research teams to define hiring priorities and execute strategic searches for top AI/ML researchers and technical scientists. Proactively source and cultivate talent across industry and academia, influence compensation and leveling, advise on candidate evaluation and closing, and collaborate with sourcing partners on complex, high-impact hires.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Conduct research and build technical mitigations for risks from recursive self-improvement. Design monitoring, automated auditing, and evaluations of misalignment; prototype interventions and integrate them into safety pipelines; collaborate with engineering and stakeholders to deploy and verify controls.