Full Time

Senior Staff Product Engineer, Full Stack – ChatGPT Enterprise at OpenAI

Company OpenAI
Location San Francisco
Salary $230K – $385K
How You'll Work onsite
Level senior
Sector Technology
Posted Posted 0 days ago

Job Description

We're hiring full stack engineers to build the product experiences that turn ChatGPT into an indispensable tool for teams,while ensuring the trust, controls, and performance enterprises require.

This role is especially focused on the user benefit & activation track: designing collaboration experiences, onboarding and engagement loops, and product affordances that help employees discover and adopt advanced capabilities (including agents and custom GPT-style workflows).

In this role, you will:

  • 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.

Your background might look something like:

  • 9+ 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
  • Proficiency with TypeScript, React, and other web technologies
  • Proficiency in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts
  • Some experience with relational databases like Postgres/MySQL
  • Care deeply about reliability, safety, and performance in production environments.
  • Interest in AI/ML (direct experience not required)
  • Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

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