工程经理，图书馆
Engineering Manager, Library
关于团队
ChatGPT Library 团队正在构建持久化层，帮助人们和组织与日益强大的 AI 系统协作。ChatGPT Library 为用户提供了一个可靠的文件、上下文和创作存储空间，构成了人与代理之间的基础——一个可以记住、检索并随时间行动的 AI 基础。
该团队位于个性化组织内，并与产品、设计、研究、模型和基础设施团队紧密合作。其工作使模型成为个人有用的第二大脑，例如回答“我上周做了什么？”之类的问题，并支持将公司知识转化为可访问、可操作的上下文的企业用例。
关于职位
我们正在寻找一位亲力亲为的工程经理，领导大约 9-10 名工程师，并负责整个产品路线图的执行。这是一个技术领导角色，要求能够设定高标准的产品目标，打造一支强大的团队，塑造架构，并在需要时直接参与贡献。你将把雄心勃勃的产品愿景转化为聚焦的路线图，并帮助团队在 AI、知识和协作的交汇点上交付可靠、直观的体验。
理想的候选人以身作则。你能够在人员领导、产品决策、技术设计和代码之间自如切换。创始人或早期创业经验尤其有价值，因为该职位需要紧迫感、在模糊中做出明智判断的能力，以及跨边界运作的意愿。
在此职位中，你将
• 领导、指导和培养一支约 9-10 名工程师的团队，同时建立清晰度、问责制和健康的执行节奏。
• 负责 Library 的工程路线图，与产品和设计合作伙伴一起优先处理影响最大的问题。
• 设定高标准的产品质量、技术卓越性、可靠性、隐私和用户信任。
• 在有助于加速团队进展或解除关键路径阻塞时，通过架构评审、原型开发、调试和编码提供直接的技术领导。
• 构建系统，使 AI 产品能够有效地持久化、检索和使用个人及组织的上下文。
• 与个性化、模型、研究、基础设施、企业及第三方集成团队合作，交付一致的端到端体验。
• 应对不确定性，做出务实的权衡，并将新兴 AI 技术转化为实际应用。
查看英文原文
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.
About the role
We are looking for a hands-on engineering manager to lead a team of approximately 9–10 engineers and own execution across the product roadmap. This is a technical leadership role for someone who can set a high product bar, build a strong team, shape architecture, and contribute directly when needed. You will form and translate an ambitious product vision into a focused roadmap and help the team ship reliable, intuitive experiences at the intersection of AI, knowledge, and collaboration.
The ideal candidate leads by example. You are comfortable moving between people leadership, product decisions, technical design, and code. Founder or early-stage startup experience is especially valuable because the role requires urgency, sound judgment under ambiguity, and a willingness to operate across boundaries.
In this role you will
• 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.
You might thrive in this role if you
• Have experience managing and developing high-performing engineering teams while remaining technically hands-on.
• Have a strong software engineering foundation and are comfortable contributing production code in a modern codebase.
• Have built and shipped user-facing products with a high quality bar, ideally in fast-moving or zero-to-one environments.
• Bring founder, startup, or early-stage product experience and know how to create momentum with limited structure.
• Can reason about distributed systems, data persistence, retrieval, permissions, collaboration, and the product implications of AI-native architectures.
• Communicate clearly across engineering, product, design, research, and executive stakeholders.
• Balance long-term technical direction with near-term delivery and know when to simplify, prototype, or invest for scale.
• Care deeply about building AI products that are useful, trustworthy, and intuitive for both individuals and organizations.
About OpenAI
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.
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