Full-Stack Software Engineer, Social Products
Company: OpenAI
Location: San Francisco, CA
Salary: $210k - $325k per year
Type: Full-time
Level: Junior
Posted: 2026-02-10
About this role
About The Team
The Social Products team explores how to redesign familiar social products using the intelligence of our models to solve their problems. We envision going back to a world where social media is a positive force.
About The Role
As a Full-Stack Software Engineer on the Social Products team, you’ll help imagine, prototype, and ship new social experiences within the OpenAI ecosystem. This team operates with a strong product mindset, moving quickly from idea to experiment to iteration, and isn’t afraid to rethink or rebuild when learning points in a new direction.
You’ll work across the stack—building frontend and backend features, processing data, and collaborating closely with designers and product partners—to create social product surfaces that drive discovery, connection, and virality. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, and designing new systems when existing ones aren’t sufficient.
We’re looking for engineers who thrive in small, nimble teams, bring creative product ideas to the table, and pair strong execution with sharp judgment. You should be comfortable operating with ambiguity, learning from experiments, and using those insights to refine both product direction and technical implementation.
In This Role, You Will
- Prototype and iterate quickly on new social product features, exploring how AI can improve connection, creativity, and shared experiences.
- Turn ideas into functional demos and ship code early and often, using real-world feedback to guide iteration.
- Scale the strongest ideas from prototype to production using OpenAI’s internal platforms and new systems when needed.
- Work across the full stack to build social product features from early experiments through launch.
- Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact.
- Learn from and contrib...