OpenAI
About the Team
The ChatGPT Space team is rethinking what work looks like when teams and agents can create together. We are building a shared workspace where a rough idea can become a polished, editable artifact, from Pages, Sheets, and Slides to entirely new kinds of work products.
Our ambition is to build the best place for teams and agents to turn ideas into things they could not make alone. The work should keep evolving after the first draft, drawing on shared context, improving through collaboration, and staying current as a project moves forward.
This is a high-agency team working across product, design, and research. We partner closely with model training teams to shape how frontier models create and edit artifacts, then bring those capabilities into a coherent experience across Pages, files, and tools. The work spans full-stack product engineering, editing and rendering systems, model integration, and collaboration, with a high bar for taste, correctness, and speed.
As Engineering Manager, ChatGPT Space, you will lead and grow the product engineering team defining this experience. You will help shape both the product and the team that builds it, turning an ambitious, evolving vision into software people love to use.
You will partner with product and design on what great collaboration between teams and agents should feel like, with research on what models can create, and with infrastructure and enterprise partners on a dependable experience at scale.
This is a role for a leader who has built from zero to one and wants to help define a new category of work. You will bring the technical depth to guide hard decisions and the product judgment to know what is worth building, while developing engineers and giving them the clarity and autonomy to ship.
This role is based in San Francisco.
Lead, manage, and grow a product engineering team, creating clear ownership, supporting engineers’ development, and hiring exceptional people
Partner with product and design to shape the ChatGPT Space roadmap and translate user needs into focused, well-crafted releases
Lead the development of creation, editing, and collaboration experiences for teams and agents, including tools that connect project context and keep work up to date
Set technical direction for full-stack product systems, editing and rendering surfaces, and model-facing integrations
Partner closely with research teams on artifact tools, model behavior, training needs, and evaluations, turning improvements in model capability into better products
Establish a high bar for editor quality, correctness, latency, and reliability, and use user feedback and evaluation results to guide improvements
Work with infrastructure and enterprise partners to deliver dependable experiences, align interfaces and ownership, and resolve problems across team boundaries
Balance new product development with the technical investments and operational discipline needed to sustain quality as the product grows
Build an effective operating cadence that keeps a fast-moving team aligned and gives engineers the context and autonomy to do their best work
Have a track record of leading engineering teams and helping engineers grow while delivering excellent products
Have built products from zero to one and can turn an ambiguous opportunity into a clear direction and practical execution plan
Bring strong product judgment and design taste, with a deep interest in how teams and agents create, edit, and collaborate
Have strong full-stack engineering fundamentals and can guide technical decisions across frontend, backend, and model-facing systems
Work effectively with product, design, research, and infrastructure partners, building alignment without losing momentum
Care deeply about craft, performance, correctness, and reliability, and can help a team improve all four while moving quickly
Communicate clearly, make thoughtful tradeoffs, and adapt as user needs and model capabilities evolve
Want to help define and build a new category of work for teams and agents
Experience as a founder, product manager, or design engineer would be especially relevant, as would a track record of bringing a similarly strong product perspective to engineering leadership.
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.
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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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