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 |
|---|---|---|
| AI Success Engineer, Government AI Success Engineer role focused on post-sales customer engagement, driving adoption, technical integration, and value realization of OpenAI's AI platform for government customers. This role requires deep technical understanding of OpenAI products, customer advisory skills, and program management to guide customers from initial deployment to scaled enterprise adoption. | Agent | 7 |
| Software Engineer, Integrity Foundations - London Software Engineer role focused on building scaled foundational systems for detecting, tracking, and enforcing harm on OpenAI's platforms, leveraging advanced AI technologies to automate and augment these processes. The role involves collaboration with various experts and staying ahead of adversarial threats. | Agent |
| 7 |
| Simulation Realism Engineer Seeking a Simulation Realism Engineer to improve the accuracy of simulation environments for robotics research and product development. This role involves defining realism metrics, tuning simulation parameters, integrating third-party engines, and developing tooling and pipelines for large-scale simulation operations. The goal is to close the sim-to-real gap for AI-powered robots. | Agent | 7 |
| Fullstack Engineer, Intelligence Systems Fullstack Engineer focused on developing and maintaining intelligence systems to detect and disrupt AI abuse, ensuring safe and responsible AI use. The role involves prototyping, building scalable systems, analyzing data, and acting as a technical bridge between data scientists and other technical teams. | Agent | 7 |
| Protection Scientist Engineer, Intelligence and Investigations This role focuses on designing and building systems to proactively identify and enforce abuse on OpenAI's products, including developing abuse monitoring for new and existing products, and prototyping systems for detection, review, and enforcement. It involves investigating critical escalations and working cross-functionally with product, policy, and engineering teams. The role requires technical analysis, data engineering, and machine learning principles, with an emphasis on scaling and automating processes, particularly with language models. | Agent | 7 |
| 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 |
| Software Engineer, Integrity Foundations Software Engineer focused on building systems to detect and prevent abuse, financial fraud, botting, and scripting on AI platforms. Collaborates with cross-functional teams to mitigate adversarial attacks and responds to incidents. Requires experience with production backend services and data pipelines, and a strong understanding of AI safety in production. | Agent | 7 |