Senior Staff Software Engineer, Identity

About the Team The Enterprise Identity team builds the identity foundation that enables organizations to adopt and use OpenAI products securely and reliably. The team owns the enterprise identity stack, including SSO, SCIM, tenant architecture, and identity capabilities across the enterprise admin experience and OpenAI's growing multi-product portfolio. About the Role We are looking for a hands-on senior technical leader to own the architecture and evolution of OpenAI's Enterprise Identity systems. You will set the long-term technical vision for the entire stack, establish shared identity primitives across products, and be accountable for systems that are foundational to our enterprise business. This role requires operating well beyond a single service or feature area. You will identify the most consequential architectural investments, align teams around durable solutions, and ensure our identity platform meets an exceptionally high bar for scale, availability, latency, and security. This role will be based in our San Francisco or Mountain View office. In this role, you will: - Own the technical vision and architecture for the Enterprise Identity stack, including SSO, SCIM, tenant architecture, groups, permissions, and identity capabilities in enterprise administration surfaces. - Lead the design and evolution of highly available, latency-sensitive identity systems serving a large and diverse global enterprise customer base. - Establish common identity models and primitives that work consistently across OpenAI's products and enable the organization to scale. - Set a high security bar by anticipating abuse cases, failure modes, and the long-term implications of new capabilities. - Drive alignment across enterprise product, infrastructure, and security partners, resolving ambiguity and influencing roadmaps beyond the immediate team. - Provide technical leadership to senior engineers and raise the quality of architecture and execution across the broader organization. Y

Department: Applied AI; Team: Applied AI Engineering