Full Stack Software Engineer, OpenAI Edu
OpenAI - San Francisco, California, United States
Posted Apr 16, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- 401(k) match
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Schedule
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About this role
Full Stack Software Engineer, OpenAI Edu San Francisco, California, United States About the team OpenAI's Education team is building products and experiences that help learners, educators, and institutions benefit from AI in ways that are rigorous, useful, and grounded in real learning outcomes. The work spans both consumer and B2B education, with close collaboration across engineering, learning science, design, data, and research. This team sits in a highly strategic investment area for OpenAI, with strong opportunities to shape how product ideas flow across consumer and institution-facing experiences. Some of our recent work: - New tools for understanding AI and learning outcomes - Education for countries - Advancements in higher education - Early product work - Introducing Study Mode About the role We're looking for a product-minded Full Stack Engineer to help build OpenAI's education products from the ground up. You'll own end-to-end development across the stack, from early concepting and prototyping through production launch and iteration. This is an opportunity to work on a highly strategic, early-stage product area where engineering judgment, product sense, and customer empathy all matter. You'll partner closely with leaders across the education org, including learning scientists, researchers, designers, and cross-functional partners, to turn emerging ideas into durable product experiences for schools, universities, and other education stakeholders. In this role, you will: - Build and ship product experiences across the full stack for OpenAI's education offerings - Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration - Work closely with learning scientists
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