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OpenAI

Full-Stack Software Engineer, Emerging Products

San Francisco$295k–$445kfulltimemidAdded yesterday

About this role

OpenAI seeks a senior full-stack engineer to join the Emerging Products team, building experimental products that showcase cutting-edge AI capabilities. You'll own 0-to-1 projects from concept through validation, combining strong frontend skills with backend architectural thinking to rapidly prototype and launch new experiences.

What you'll do

  • Build and ship full-stack product experiments with a focus on frontend interfaces and supporting backend systems
  • Translate ambiguous user needs and emerging technical capabilities into testable product concepts
  • Own technical direction for 0-to-1 projects, balancing speed, reliability, and scalability
  • Use research and product metrics to guide iteration and validation decisions
  • Partner with design, product, research, and engineering teams to dogfood and evaluate experiments
  • Transition successful prototypes toward production-ready products

What they're looking for

  • Full-stack software development with strong frontend expertise
  • Backend and systems architecture design
  • Rapid prototyping and experimentation
  • Product sense and user-centric thinking
  • Data analysis and metrics-driven decision making
  • Cross-functional collaboration and communication
  • Autonomous problem-solving in ambiguous environments
  • Ability to learn and adapt to new technologies
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Tell us about a 0-to-1 product you built from scratch—how did you navigate ambiguity and make technical tradeoffs?
  • Describe a time you had to make a sound architectural decision knowing it might need to scale later. What was your approach?
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