Software Engineer, ChatGPT for Work

About the Team

We’re incubating brand-new lines of business inside ChatGPT for Work. If you love 0→1 building, shipping quickly, and owning large product surface area, this is a chance to help define how organizations capture and use their knowledge—turning messy, living information into fresh organizational memory, smarter retrieval, and first-party ChatGPT experiences that feel native at work.

About the Role
You’ll join a small, hands-on team (full-stack + backend) that operates with minimal process and a tight feedback loop with real customers from day one. You’ll work closely with product, design, and research to take ideas from exploration to production—owning outcomes end-to-end.

This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Co-create the “rubric” for how org knowledge is captured, linked, evaluated, and applied in product flows.

• Build graph-backed, real-time systems that stay fresh by default (streaming + incremental updates).

• Ship enterprise-grade, first-party ChatGPT for Work features end-to-end (prototype → launch → iterate).

• Make pragmatic architecture choices that balance speed, reliability, and privacy/security for enterprise users.

• Wear the founder hat: define scope, set milestones, measure impact—own outcomes, not tickets.

You might thrive in this role if you:

• 5+ years of product engineering experience building and shipping user-facing features end-to-end.

• Strength in modern web stacks (e.g., TypeScript/JavaScript, React) and at least one backend language (we use Python).

• Experience with relational databases (e.g., Postgres/MySQL) and comfort optimizing for speed and scale.

• Product intuition: you talk to users, prioritize signal over noise, and iterate quickly.

• Ability to thrive with ambiguity and move fast in a high-impact, high-ownership environment.

• Knowledge graphs, embeddings/retrieval, vector stores, or near-real-time data pipelines.

• Building secure, compliant enterprise features (authN/Z, data governance, auditability).

• Observability and performance tuning across the stack.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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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