Software Engineer, Enterprise Controls

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., 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.
• Develop sharing capabilities between people and agents, with clear access rules and enterprise controls that are understandable to administrators and users.
• Build reusable services and APIs that support workspace administration and console experiences as OpenAI products evolve.
• Lead architecture and delivery for complex initiatives, aligning product and engineering partners on requirements, tradeoffs, and rollout plans.
• Translate enterprise needs into clear configuration, predictable permission behavior, and maintainable systems that other product teams can build on.
• Own the reliability, security, and performance of the services you ship through testing, observability, production debugging, and continuous improvement.

• 9+ years of professional backend software engineering experience, excluding internships, building and operating production services.
• Deep backend engineering expertise and a track record of shipping complex product or platform capabilities that customers depend on.
• Experience providing technical leadership for substantial initiatives, making architectural decisions, and coordinating delivery across teams while remaining hands-on.
• Strong proficiency in a backend language such as Python, Go, Rust, Java, or C++, with sound software design and systems fundamentals.
• Experience designing distributed services, APIs, and data models, with an understanding of reliability, consistency, scalability, and performance tradeoffs.
• Experience building authorization, permissions, or enterprise governance systems, including translating access policies into reliable application behavior.
• Strong product judgment and communication skills, with the ability to turn ambiguous user and administrator needs into practical technical decisions.
• A track record of owning production systems, diagnosing difficult failures, and improving security, testing, observability, and operational reliability.

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., OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity., At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.