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Software Engineer, Enterprise Verticals

OpenAI

Software Engineer, Enterprise Verticals is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $293k–$325k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$293k–$325k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby

About this role

ABOUT THE TEAM Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows.

  • Function: Machine learning
  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $293k–$325k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists.   ABOUT THE ROLE We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout.   IN THIS ROLE, YOU WILL: - Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. - Turn customer and design-partner evidence into clear product decisions, milestones, and measurable quality gates without overfitting to a single customer. - Partner with Design, Research, GTM, Security, and platform teams. - Create robust evaluations, observability, and rollback paths. - Own the full loop from prototype through bounded rollout and iteration. - Define explicit contracts and fallback paths with shared platform teams when a workflow depends on connectors, permissio

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