Product Explorations: Full-Stack Engineer (SF HQ)

OpenAI

San Francisco (CA)

On-site

USD 347,000 - 385,000

Full time

3 days ago
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Benefits offered by this job

Relocation assistance

Job summary

OpenAI’s Product Explorations team is seeking a Full Stack Software Engineer based in San Francisco to translate new model capabilities into impactful user experiences. You will own end-to-end product explorations, prototyping quickly and validating ideas with cross‑functional partners across research, applied, design, and data science.

You will identify high‑leverage opportunities, move from idea to prototype to production, and drive decisions in ambiguous environments.

Qualifications

  • Experience building and shipping full stack product experiences from prototype to production.
  • Strong product intuition and ability to identify what matters for users and business.
  • Ability to work autonomously in ambiguous environments and drive initiatives.

Responsibilities

  • Identify and pursue high-leverage product and technical opportunities across OpenAI’s products
  • Move quickly from idea to prototype, validation, launch, and iteration
  • Build full stack product experiences that unlock value from new model capabilities
  • Work closely with Research, Applied, product, design, data science, and engineering partners
  • Use user feedback, product signals, and experimentation to determine which ideas should scale
  • Drive alignment across teams and help shape a culture of speed, ownership, curiosity, and thoughtful experimentation

Skills

Full stack
Product mindset
Autonomy

Job description

OpenAI’s Product Explorations team is seeking a Full Stack Software Engineer based in San Francisco to translate new model capabilities into impactful user experiences. You will own end-to-end product explorations, prototyping quickly and validating ideas with cross‑functional partners across research, applied, design, and data science.

You will identify high‑leverage opportunities, move from idea to prototype to production, and drive decisions in ambiguous environments.

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