Engineering Manager, Library

Details

The ChatGPT Library team is building a persistence layer that helps people and organizations collaborate with increasingly capable AI systems. ChatGPT Library provides a durable place for files, context, and creations, forming a foundation for AI systems that can remember, retrieve, and act on relevant context over time.

The team is part of the Personalization organization and works closely with product, design, research, model, and infrastructure teams. Its work supports individual and enterprise use cases by making personal and organizational knowledge accessible and actionable.

Responsibilities

• Lead, coach, and grow a team of approximately 9–10 engineers while creating clarity, accountability, and a healthy execution rhythm.
• Own the engineering roadmap for Library, partnering with product and design to prioritize high-impact problems.
• Set a high bar for product quality, technical excellence, reliability, privacy, and user trust.
• Provide hands-on technical leadership through architecture reviews, prototyping, debugging, and coding when needed.
• Build systems that allow AI products to persist, retrieve, and effectively use personal and organizational context.
• Partner with Personalization, model, research, infrastructure, enterprise, and third-party integration teams to deliver cohesive end-to-end experiences.
• Navigate ambiguity, make pragmatic tradeoffs, and turn emerging AI capabilities into clear product and engineering plans.
• Hire exceptional engineers and develop technical leaders who can scale the team’s impact.

Requirements

• Experience managing and developing high-performing engineering teams while remaining technically hands-on.
• A strong software engineering foundation and the ability to contribute production code in a modern codebase.
• Experience building and shipping user-facing products with a high quality bar, ideally in fast-moving or zero-to-one environments.
• Founder, startup, or early-stage product experience and the ability to create momentum with limited structure.
• Ability to reason about distributed systems, data persistence, retrieval, permissions, collaboration, and the product implications of AI-native architectures.
• Clear communication across engineering, product, design, research, and executive stakeholders.
• Ability to balance long-term technical direction with near-term delivery and determine when to simplify, prototype, or invest for scale.
• A commitment to building AI products that are useful, trustworthy, and intuitive for individuals and organizations.

Benefits

• Base salary of $401,000–$445,000 per year.
• Equity, performance-related bonuses for eligible employees, and benefits including medical, dental, and vision insurance.
• Health Savings Accounts, flexible spending accounts, commuter benefits, and a 401(k) plan with employer match.
• Paid parental, medical, caregiver, and vacation leave; paid company holidays and office closures.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.