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Engineering Manager, Library

Label Your Data·Salary not specified

Primary stack

AILeadership

Nice to have's

startup experiencepeople leadershiptechnical designcodingcommunication

Job description

About the Position

Engineering Manager, Library

Seattle


About the Team

The ChatGPT Library team is building the persistence layer that helps people and organizations collaborate with increasingly capable AI systems. ChatGPT Library provides users with a durable place for their files, context, and creations, forming a substrate between humans and agents-a foundation for AI that can remember, retrieve, and act on the right context over time.

The team sits within the Personalization organization and partners closely with product, design, research, model, and infrastructure teams. Its work helps models become a useful second brain for individuals-for example, answering questions such as “What did I work on last week?”-and supports enterprise use cases that turn company knowledge into accessible, actionable context.


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, working with product and design partners to prioritize the highest-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 it will accelerate the team or unblock a critical path.
  • Build systems that allow AI products to persist, retrieve, and use personal and organizational context effectively.
  • Partner across 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 a clear product and engineering plan.
  • Hire exceptional engineers and develop technical leaders who can scale the team’s impact.

Requirements

  • Engineering Management: Experience managing and developing high-performing engineering teams while remaining technically hands-on.
  • Technical Leadership: Strong software engineering foundation and comfortable contributing production code in a modern codebase.
  • Product Development: Built and shipped user-facing products with a high quality bar, ideally in fast-moving or zero-to-one environments.
  • AI Systems: Founder, startup, or early-stage product experience and know how to create momentum with limited structure.
  • Distributed Systems: Ability to reason about distributed systems, data persistence, retrieval, permissions, collaboration, and the product implications of AI-native architectures.
  • Communication: Communicate clearly across engineering, product, design, research, and executive stakeholders.
  • Balancing Direction and Delivery: Balance long-term technical direction with near-term delivery and know when to simplify, prototype, or invest for scale.

Nice to Have

  • Startup Experience: Experience in a startup or early-stage environment.
  • People Leadership: Strong people leadership skills.
  • Technical Design: Expertise in technical design.
  • Coding: Proficient coding skills.
  • Communication: Excellent communication skills.

We Offer

  • Competitive salary
  • Opportunity to shape the future of AI collaboration
  • Work with a team dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity

About the Company

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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