OpenAI
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2015
- Size
- 5,000+
- Website
- openai.com
- Blog
- openai.com
Products
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.
Currently tracking 199 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $230k–$555k (avg $372k).
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 |
|---|---|---|
| Technical Deployment Lead - Tokyo This role is a founding Technical Deployment Lead at OpenAI, focused on partnering with customers to deliver complex AI systems. The role involves defining delivery processes, translating business needs into technical plans, managing execution across engineering and research teams, and ensuring customer adoption and value realization. It requires deep technical project management, ownership, and the ability to work in ambiguous, high-autonomy environments, with a focus on shipping AI/LLM systems to customers and codifying reusable patterns from field insights. | Ship | 9 |
| Forward Deployed Engineer - Tokyo OpenAI's Forward Deployed Engineer role focuses on partnering with strategic customers to deploy frontier AI models into production systems. This role involves end-to-end ownership of discovery, technical scoping, system design, build, and rollout, with a strong emphasis on driving customer adoption and using evaluation feedback to influence product and model roadmaps. The position requires deep technical expertise in building full-stack systems, understanding LLM behavior, and contributing code, while also acting as a liaison between customer teams and OpenAI's internal Research and Product groups. Fluency in both Japanese and English is a mandatory requirement. |
| ShipAgent |
| 8 |
| AI Success Engineer - Tokyo AI Success Engineer role focused on post-sales customer engagement, driving adoption, technical integration, and value realization of OpenAI's AI platform for enterprise clients. This role requires deep technical knowledge of OpenAI products, APIs, and common integration patterns, along with experience in enterprise security and compliance. The engineer acts as a trusted advisor, mapping workflows, guiding deployments, and translating customer needs into actionable roadmaps, while also providing feedback to Product, Engineering, and Research teams. | Agent | 7 |