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 |
|---|---|---|
| Product Manager, API Agents Product Manager for OpenAI's API Agents team, focusing on defining and guiding the future of agentic applications built on OpenAI's models. The role involves understanding developer needs, setting roadmap priorities, and collaborating with research and engineering to deliver developer products and features like SDKs and APIs. | Agent | 9 |
| Data Scientist, Codex This role focuses on measuring and accelerating product-market fit for AI developer tools, specifically within the Codex product team at OpenAI. The Data Scientist will define developer productivity metrics, design and interpret A/B tests for new coding models and features, and analyze model performance across various languages and tasks. The insights generated will directly influence the product's direction and the broader software engineering industry. | Agent |
| 9 |
| Agentic Risk Analyst This role focuses on analyzing and mitigating risks associated with agentic AI systems, ensuring safe and responsible deployment across OpenAI's products. The analyst will build a portfolio of agentic risks, assess emerging threats, and collaborate with various teams to implement mitigation strategies. | Agent | 8 |
| AI Tooling & Enablement Manager This role focuses on identifying and building AI-native products and workflows for OpenAI's marketing organization. The manager will work with marketing teams to leverage AI for improved quality, speed, and effectiveness, by designing and deploying workflows that combine agents, tools, and human review. The role involves prototyping, shipping automation, building reusable systems, and providing training and documentation to enable safe and effective AI adoption. | Agent | 8 |
| Product Manager, Bio Safety Product Manager focused on biosecurity risk for OpenAI's frontier models. The role involves driving initiatives to ensure safe and impactful deployments, developing safety-focused product roadmaps, and collaborating with cross-functional teams. Key responsibilities include creating scalable evaluation and improvement systems, integrating AI safety research, and defining metrics for safety performance. | Eval Gate | 8 |
| Data Scientist, Safety Systems The Data Scientist, Safety Systems role focuses on establishing a data-driven approach to understand, evaluate, and monitor the safety of production AI systems. This involves defining and implementing metrics, creating dashboards, and collaborating with researchers and engineers to ensure safe AI deployment. The role emphasizes leadership in quantitative analysis and metric operationalization within a safety-focused team. | Eval GateData | 8 |
| Product Manager, Shopping Product Manager for OpenAI's Shopping team, focusing on building AI-powered shopping experiences within ChatGPT. This role involves defining product vision, exploring AI applications in product discovery and decision-making, and collaborating with cross-functional teams to scale these experiences. The role operates at the intersection of AI, commerce, search, recommendations, and consumer product experiences. | Ship | 7 |
| Product Manager, ChatGPT Healthcare Product Manager for ChatGPT Healthcare team, defining and building AI products for clinicians, care teams, and healthcare organizations. Focus on strategy, execution, and shipping useful, safe, and scalable AI solutions in a complex, regulated environment. | Ship | 7 |
| Product Manager, Sensitive Deployments Product Manager for Integrity team focusing on sensitive AI deployments, including government, regulated enterprise, privacy-constrained environments, and agentic workflows. The role involves defining product strategy, measuring risk, building agentic investigation workflows, and creating launch playbooks for high-risk domains. | Agent | 7 |
| Product Manager, Cyber Safety Product Manager for OpenAI's Safety Systems team, focusing on cybersecurity risk for frontier AI models. The role involves driving initiatives to ensure responsible deployment, developing safety roadmaps, and collaborating with research, engineering, and policy teams. Requires experience in AI safety, trust & safety, or integrity, with a background in cybersecurity and strong product management skills. | Eval Gate | 7 |
| Product Manager, Safety Measurement Product Manager for Safety Measurement at OpenAI, responsible for defining the strategy and roadmap for platforms that measure harm and safeguard efficacy in production. This role involves partnering with research and engineering teams to integrate AI safety research into measurement products and represent quantitative safety progress to leadership. | Eval Gate | 7 |
| Manager, AI Success Engineers - San Francisco Manager for AI Success Engineers focused on driving adoption and value realization of OpenAI's AI products (ChatGPT Enterprise, Codex, custom GPTs) for enterprise customers, involving post-sale technical success, onboarding, and strategic partnerships. | Ship | 7 |
| AI Deployment Manager - NYC AI Deployment Manager at OpenAI, focused on post-sales technical enablement and adoption of AI products like ChatGPT Enterprise, Codex, and Agents. This role involves designing and delivering training, workshops, and adoption programs to help enterprise customers effectively use and integrate OpenAI's AI capabilities, translating technical features into measurable business value. | Ship | 7 |
| Product Manager, Integrity Product Manager for OpenAI's Integrity team, focusing on scaling product efforts and technical strategy to combat scaled abuse and novel misuse of AI services like ChatGPT, API, and Sora. Requires close collaboration with product, safety, policy, operations, and engineering teams to build tooling and infrastructure for detection and prevention of policy violations. | Agent | 7 |
| Manager, AI Success Engineers - NYC Manager for AI Success Engineers focused on driving adoption and value realization of OpenAI's AI products (specifically ChatGPT Enterprise) for enterprise customers. This role involves leading a technical team, developing strategy, ensuring customer onboarding and activation, and representing customer needs to product teams. | Ship | 7 |
| Data Scientist, Platform and B2B Products Data Scientist on the Platform team at OpenAI, focusing on API and B2B solutions. The role involves defining metrics, measuring impact, and partnering with product and engineering to improve model quality, reliability, latency, and cost, ultimately shaping the adoption of agentic AI. | Ship | 7 |