Engineering Manager, Identity Infrastructure

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.
• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.
• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.
• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.
• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.
• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.
• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.
• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.
• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.
• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.
• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.
• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.
• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.
• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.
• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.