Jobs/San Francisco/Product Engineer, ChatGPT Enterprise
San Francisco, California, United States

Product Engineer, ChatGPT Enterprise

About the Team OpenAI’s ChatGPT Enterprise team sits within the B2B Applications organization and is responsible for making ChatGPT work for businesses at scale. Our goal is to deliver a seamless experience where people can use the same product at home and at work, while meeting the requirements that only enterprises c

Company
OpenAI
Compensation
$230K - $385K
Schedule
Full-Time
Role overview

What this role actually needs.

Product Engineer, ChatGPT Enterprise at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team OpenAI’s ChatGPT Enterprise team sits within the B2B Applications organization and is responsible for making ChatGPT work for businesses at scale. Our goal is to deliver a seamless experience where people can use the same product at home and at work, while meeting the requirements that only enterprises c

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Build end-to-end features across frontend, backend-for-frontend, and service layers that improve how teams collaborate and share work in ChatGPT.
  • Design activation and engagement systems (e.g., product hooks, discovery surfaces, and admin-to-user rollout flows) that drive adoption across different user cohorts inside an enterprise.
  • Partner cross-functionally with engineers working on enterprise controls (security, permissions, compliance, residency) and company knowledge/search to ensure features ship with the right guardrails and enterprise readiness.
  • Collaborate with adjacent teams (including API/agent efforts) to integrate agent experiences into the ChatGPT interface in ways that feel native, safe, and scalable for business use.
  • 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
  • Former founder, or early engineer at a startup who has built a product from scratch is a plus
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • Build end-to-end features across frontend, backend-for-frontend, and service layers that improve how teams collaborate and share work in ChatGPT.
  • Design activation and engagement systems (e.g., product hooks, discovery surfaces, and admin-to-user rollout flows) that drive adoption across different user cohorts inside an enterprise.
  • Partner cross-functionally with engineers working on enterprise controls (security, permissions, compliance, residency) and company knowledge/search to ensure features ship with the right guardrails and enterprise readiness.
  • Collaborate with adjacent teams (including API/agent efforts) to integrate agent experiences into the ChatGPT interface in ways that feel native, safe, and scalable for business use.
  • 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
  • Former founder, or early engineer at a startup who has built a product from scratch is a plus
Benefits

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    Next moves

    • Tailor your resume around ai and llm instead of sending a generic application.
    • Use the first two bullets of your application to connect your background directly to product engineer, chatgpt enterprise is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
    • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

    Interview themes

    Artificial IntelligenceOn-siteaillmmachine-learningresearch

    Watchouts

    • $230K - $385K is visible, so calibrate your application around the posted range.
    • Use united states residents as part of your positioning so the recruiter does not have to infer it.
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    Product Engineer, ChatGPT EnterpriseOpenAISan FranciscoUSArtificial Intelligenceaillmmachine-learningresearchpythontypescriptreactawspostgressecurityapiinfrastructure
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