Product Engineer, Full Stack - Agents

About the Team We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: - Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. - Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. - Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. - Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. - Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. - Build trust into the product through clear user controls, understandable agent behavior, safe execution, and reliable operational foundations. - Use customer feedback, product insight, and rapid iteration to identify high-value workflows and improve how AI coworkers deliver useful results. You might thrive in this role if you have: - 7+ years of professional full-stack or product engineering experience, ideally building user-facing products in product-driven or enterprise environments. - A track record of shipping polished user-facing products and production backend systems with meaningful ownership across the full stack. - Strong frontend skills with TypeScript, React, and modern web application development, including a thoughtful approach to interaction design and usability. - Experience building backend services, APIs, data models, and production systems in Python, Go, Rust, TypeScript, or similar languages. - Strong product judgment and comfort taking ambiguous customer problems from concept through implementation, launch, and iteration. - Experience designing software for complex workflows, collaboration, enterprise users, developer tools, or other trust-sensitive product environments. - Ability to reason about asynchronous work, stateful systems, reliability, performance, security, and the tradeoffs required to deliver a great user experience. - Proven ability to work closely with product managers, designers, researchers, and engineers across multiple teams. - High agency, strong execution, and enthusiasm for building new products in a fast-moving environment. - Interest in AI agents and the future of work; experience with agentic systems, enterprise software, or early-stage products is helpful but not required. 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 uninc

7+ years of professional full-stack or product engineering experience, ideally building user-facing products in product-driven or enterprise environments. A track record of shipping polished user-facing products and production backend systems with meaningful ownership across the full stack. Strong frontend skills with TypeScript, React, and modern web application development, including a thoughtful approach to interaction design and usability. Experience building backend services, APIs, data models, and production systems in Python, Go, Rust, TypeScript, or similar languages. Strong product judgment and comfort taking ambiguous customer problems from concept through implementation, launch, and iteration. Experience designing software for complex workflows, collaboration, enterprise users, developer tools, or other trust-sensitive product environments. Ability to reason about asynchronous work, stateful systems, reliability, performance, security, and the tradeoffs required to deliver a great user experience. Proven ability to work closely with product managers, designers, researchers, and engineers across multiple teams. High agency, strong execution, and enthusiasm for building new products in a fast-moving environment. Interest in AI agents and the future of work; experience with agentic systems, enterprise software, or early-stage products is helpful but not required.