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ExperiencedAIRobotics

Software Engineer, Enterprise Controls

OpenAI · San Francisco

Posted Oct 3, 2026 · full time

Est. total comp~$201K–$317K

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From the posting

About the Team

Enterprise Controls & Console is part of Enterprise Engineering. We build the permissions, governance, and administration capabilities that help organizations use and deploy ChatGPT, Codex, and OpenAI products with confidence. We give administrators granular controls over access and security, helping ensure that people and agents operate within the boundaries their organizations define.

Our work combines complex backend platform engineering with enterprise product needs and touches every major product and model launch. We build scalable, reusable services and intuitive administration experiences, and provide a shared controls foundation that enables internal teams to introduce new capabilities safely.

About the Role

We are looking for an experienced backend software engineer to help shape and build the systems behind enterprise access, governance, and sharing. You will bring deep backend expertise and strong product judgment to problems that span multiple OpenAI products, including how people and agents share access and work together. You will lead technical design and delivery, translate ambiguous enterprise needs into clear system behavior, and remain hands-on from implementation through production operation. This role is based in San Francisco.

In this role, you will:

- Design and build backend services for permissions, authorization, and governance across ChatGPT, Codex, and OpenAI APIs. …

Excerpt from OpenAI's public job board. Read the full posting.

Job inventory

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Named in the posting 7 items

  • 9y

Experience: 9+ years of experience

Skills and tools: Python, C++, Java, Rust, Leadership, Go

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About this listing. Pulled automatically from OpenAI's public job board and refreshed daily; closed roles are removed. Mars Mining Co. is not the employer, does not take applications and does not screen candidates. Field and level labels come from the job title and can be wrong.

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About the pay figures (~): These are estimates. Yearly figures are estimated total comp ranges: the employer's posted pay range, or, with no posted pay, the median to 90th-percentile BLS wage for similar jobs, plus typical benefits and bonus, without stock. Hourly figures for internships and contract roles are posted rates or BLS hourly wage ranges. Figures outside the U.S. and for loosely matched titles are rough ballparks. How we estimate