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
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 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, 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 product and research teams to drive adoption and gather feedback. | Ship | 9 |
| Manager, Forward Deployed Engineering - London Manager for Forward Deployed Engineering team responsible for partnering with customers to turn research breakthroughs into production systems, owning end-to-end delivery outcomes, and informing roadmap priorities through fieldwork. Requires experience managing customer-facing engineers and leading high-pressure technical projects. | Ship |
| 9 |
| AI Deployment Engineer, Large Enterprise AI Deployment Engineer role focused on post-sale customer engagement to ensure safe and effective deployment of Generative AI applications for developers and enterprises. The role involves acting as a trusted advisor, helping customers build and execute AI adoption strategies, identify and prioritize GenAI use cases, and guide projects from prototype to production. Responsibilities include serving as a technical subject matter expert, engaging with senior stakeholders, providing architectural guidance, building prototypes, and contributing to knowledge sharing. | Ship | 7 |
| Software Engineer, Codex Ecosystem & Enterprise Software Engineer focused on building the ecosystem, enterprise capabilities, and product experiences for Codex, an AI software engineer. This role involves working across the full stack to enable deployment, operation, and trust of Codex in demanding real-world environments, including integrating with enterprise identity and governance systems, and leading customer deployments. | ShipAgent | 7 |