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Engineering Manager, Identity Platform

OpenAI

San Francisco, CAHybridPosted 24 days ago$293,000 - $385,000/year
Full TimeSenior LevelTech & Data (Health IT)AI Biotech
Original posting ↗

Summary

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

Job description

About the Team

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

In this role, you will:

  • 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 10+ years of experience building, scaling, and operating distributed systems at large scale.
  • Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.
  • 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.

Requirements

  • 10+ years of experience building, scaling, and operating distributed systems at large scale
  • 3+ years of experience managing high-performance engineering teams
  • Experience managing an infrastructure team
  • Deep experience building and operating high-scale backend systems
  • Track record of improving reliability, latency, and security in production
  • Broad infrastructure expertise across the stack
  • Strong people leadership, coaching, and mentoring skills
  • Clear communication and holistic thinking

Benefits

  • Medical, Dental & Vision
  • Health Savings Accounts
  • Health FSA
  • Dependent Care FSA
  • Commuter Expenses
  • 401(k) Matching
  • Paid Parental Leave
  • Paid Medical Leave
  • Paid Caregiver Leave
  • Flexible PTO
  • Paid Company Holidays
  • Paid Sick Time
  • Mental Health Support
  • Life Insurance
  • Disability Coverage
  • Learning & Development Stipend
  • Daily Meals
  • Relocation Support
  • Charitable Donation Matching
  • Wellness Stipends

Company overview

OpenAI is an artificial intelligence research laboratory and company based in San Francisco, California. Founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman, OpenAI initially operated as a non-profit research organization before transitioning to a capped-profit model. The company's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. OpenAI has developed groundbreaking AI technologies including GPT (Generative Pre-trained Transformer) models, DALL-E for image generation, and Codex for programming assistance. Their most notable product, ChatGPT, has revolutionized human-AI interaction and brought large language models to mainstream audiences. OpenAI conducts cutting-edge research in machine learning, natural language processing, computer vision, and reinforcement learning, while also developing practical AI applications that are transforming industries worldwide.

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