工程经理，制品
Engineering Manager, Artifacts
关于团队
Artifacts 团队正在为文档、电子表格、幻灯片、仪表板、报告、分析和新的交互式工作产品构建原生 AI 创作层。我们正在重新思考当模型可以从模糊的用户目标转化为结构严谨、可编辑的成品时，创作会是什么样子，这些成品需要具备良好的结构、品味、正确性和速度。
这是一个高自主性的团队，工作涵盖产品、基础设施和研究。我们与模型训练团队紧密合作，塑造前沿模型生成成品的方式，并与 ChatGPT 产品团队合作，将这些能力转化为数百万用户可以使用的体验。这项工作涉及全栈产品工程、模型集成、渲染和编辑系统、协作、存储、评估循环和生产可靠性。
我们的目标是打造 AI 生成成品的首选产品体验：从熟悉的办公产品如幻灯片、电子表格和文档开始，然后扩展到仅在 AI 原生世界中才可能的新型成品。
关于职位
作为 Artifacts 工程经理，你将领导并发展负责构建该产品和技术基础的工程团队。你将管理一支由全栈工程师和基础设施导向工程师组成的团队，设定技术方向，并保持足够的亲力亲为以塑造架构和调试难题。
这个职位位于产品工程、研究和基础设施的交汇点。你将与研究人员合作，探讨模型在成品创作中的训练和评估方式，与产品和设计团队合作优化用户体验。
这是一个适合希望真正构建和交付产品而非仅仅协调的资深技术管理者。团队发展迅速，因此你需要帮助定义产品的表现形式以及构建它的团队。
在这个职位上，你将：
- 领导、管理和发展一个团队，该团队负责在文档、电子表格、幻灯片和新兴成品格式中构建 AI 原生的创作体验。
- 设定全栈产品系统、生成编排、编辑和渲染界面、存储、可靠性以及模型集成的技术方向。
- 负责亲自参与架构设计、代码审查、调试、系统设计和关键产品决策。
- 与研究团队紧密合作，将模型能力、训练需求、评估和行为洞察转化为已发布的功能改进。
- 与产品、设计和基础设施团队协作。
查看英文原文
ABOUT THE TEAM
The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed.
This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability.
Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world.
ABOUT THE ROLE
As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems.
This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience.
This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it.
IN THIS ROLE, YOU WILL:
- Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact formats.
- Set technical direction across full-stack product systems, generation orchestration, editing and rendering surfaces, storage, reliability, and model integration.
- Responsible for hands-on architecture, code review, debugging, system design, and critical product decisions.
- Partner closely with research teams to translate model capabilities, training needs, evals, and behavioral insights into shipped product improvements.
- Work with product, design, infrastructure, and safety partners to define what excellent artifact creation should feel like for users.
- Create the engineering plan for the next phase of the team, including hiring, execution milestones, technical investments, and operating cadence.
- Balance near-term product velocity with long-term platform quality, reliability, extensibility, and developer productivity.
- Debug complex failures across model behavior, product surfaces, infrastructure, latency, and user-facing quality.
- Help expand the team’s scope from familiar artifact types into new forms of AI-native work products.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- Have experience leading engineering teams while remaining technically close to the work.
- Have strong full-stack product engineering fundamentals and can reason across frontend, backend, infrastructure, and model-facing systems.
- Are excited by AI-native creation tools and have opinions about what makes documents, slides, spreadsheets, dashboards, and interactive artifacts genuinely useful.
- Can operate in ambiguous, fast-moving environments where the product, model capability, and technical architecture are all evolving at once.
- Have experience partnering with research, ML, product, design, infrastructure, or data teams.
- Care about craft, quality, latency, reliability, and user experience, not just whether a system technically works.
- Have strong judgment about when to build product-specific systems versus reusable platform foundations.
- Learn quickly, communicate clearly, and bring enough technical depth to raise the bar for the team.
- Desire to help define and own a new category of AI-native work.
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.
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