Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
AI Frontier · AI lab
OpenAI currently has 235 active AI-related job listings. The majority of these roles are in the application stage, accounting for 32% of the total, followed closely by the agents stage at 29%. The dominant function for hiring is Engineering, with 168 positions. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deploying and managing AI models. In the last 30 days, OpenAI posted 50 new AI roles, representing a 14% increase compared to the previous 30-day period.
OpenAI currently has 254 active AI-related roles in our index. The most common open titles are: AI Deployment Engineer (4), Partner AI Deployment Engineer - AWS (4), AI Deployment Engineer - Startups (3), AI Deployment Engineer- Codex (3), AI Deployment Engineer, Startups (2). Most positions are in Engineering and Research.
OpenAI's active AI hiring is concentrated in: application (33%), agents (28%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenAI is hiring AI talent in: United States (203 roles), United Kingdom (14 roles), Japan (6 roles), Germany (5 roles).
Job postings at OpenAI most frequently reference: model serving, agent orchestration, evals, llm observability, inference infra.
In the past 30 days, OpenAI has posted 56 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Manager, Forward Deployed Engineering - Munich Manager for Forward Deployed Engineering team responsible for partnering with customers to turn research breakthroughs into production systems using frontier models. The role involves leading and growing a team, owning end-to-end delivery outcomes, and ensuring fieldwork informs roadmap priorities and supports safe deployment at scale. Requires strong leadership, technical project management, and experience with production-grade code. | ShipServe | 9 |
| Forward Deployed Engineer - Munich This role focuses on leading end-to-end deployments of frontier AI models for strategic customers, involving system design, build, and production rollout. The engineer will work closely with customer teams to deliver value, gather feedback for product and model improvements, and contribute to the development of reusable tools and playbooks. The role requires strong engineering experience, including building and deploying LLM-powered systems, and the ability to manage complex projects in ambiguous environments. |
| AgentServe |
| 9 |
| Manager, AI Deployment Engineering - Codex Manager for AI Deployment Engineering focused on the Codex product, responsible for leading a team that helps customers integrate and scale AI coding tools into their software development lifecycle. The role involves technical leadership, customer engagement strategy, and partnering with internal teams to ensure successful production adoption and establish best practices. | Ship | 8 |
| AI Deployment Engineer - Startups AI Deployment Engineer focused on working with strategic startup customers to optimize their AI systems, identify failure modes, and translate learnings into reproducible evaluations and product improvements for OpenAI. This role involves prototyping prompts/agents, designing evaluations, and acting as a technical partner. | AgentEval Gate | 8 |
| AI Deployment Engineer | Codex This role focuses on helping enterprise customers adopt OpenAI's coding tools (Codex) by acting as a technical partner. The engineer will design, validate, and scale AI workflows, build demos and integrations, and provide technical enablement and content. The role involves close collaboration with sales, product, and applied engineering teams to gather customer feedback and influence product direction. | Ship | 8 |
| Partner AI Deployment Engineer This role focuses on leading technical delivery with OpenAI partners across EMEA, helping scale customer deployments built on the OpenAI platform. The engineer will support the design, deployment, and scaling of production-grade AI solutions through partners, ensuring quality, safety, and reliability. Responsibilities include acting as a primary technical delivery partner, translating designs into deployable architectures, providing integration support, and contributing to reusable deployment patterns. | Ship | 7 |
| AI Success Engineer AI Success Engineer role focused on partnering with enterprise customers to drive adoption and business value from OpenAI's AI platform. This post-sales role involves technical leadership, customer advisory, and influencing product development by translating customer needs and feedback. | Ship | 7 |