OpenAI
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2015
- Size
- 5,000+
- Website
- openai.com
- Blog
- openai.com
Products
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 |
|---|---|---|
| Forward Deployed Engineer - Madrid This role focuses on deploying OpenAI's frontier AI models into production systems for strategic customers, leading the entire process from discovery and scoping to system design, build, and rollout. The engineer will work on full-stack systems, embed with customer teams, and contribute to product and model roadmaps through feedback and evaluations. The role requires strong engineering and deployment experience, particularly with LLMs, and the ability to manage complex projects in ambiguous environments. | ShipServe | 9 |
| AI Deployment Engineer Solutions Engineer role focused on post-sale customer engagement to ensure they realize business value from OpenAI technologies. This involves designing and deploying GenAI solutions, providing architectural guidance, building prototypes, and advising on scaling solutions in production. The role works closely with customers' technical teams and internal OpenAI teams (Sales, Solutions Engineering, Applied Research, Product). |
| ShipAgent |
| 8 |