# Software Engineer, Enterprise Verticals

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $293k – $325k/yr
**Experience:** 5+ years
**Skills:** React, TypeScript, Python, Go, Node.js, APIs, Authentication, permissions, Observability, evaluations, applied ai, Conversational AI
**Posted:** 2026-07-29

> Full-stack product engineer building role-specific ChatGPT Work workflows for technology company functions like data/analytics, sales, and design. Own ambiguous enterprise workflows end-to-end: shape product from customer evidence, build across frontend/backend/services/plugins/connectors, create evaluations/observability/rollback, and drive from prototype to production rollout.

## Job Description

## Responsibilities
- 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, permissions, model routing, or other cross-team systems.

## Requirements
- Strong product engineer with excellent product judgment.
- Comfortable moving across frontend, backend, APIs, data, and systems integration.
- Communicate clearly with customers and cross-functional partners.
- Use evidence and tests to make ambiguous work observable.
- Care about enterprise permissions, reliability, privacy, and rollout safety.
- Shipped a user-facing product through ambiguity and can explain the decisions, tradeoffs, and evidence behind it.
- Translate a concrete customer workflow into a general product without losing the details that make the first experience useful.

## Preferred Qualifications
- Experience building and operating full-stack production products across a modern frontend stack (such as React/TypeScript) and backend services (such as Python, Go, Node.js, or comparable technologies).
- Experience designing evolvable APIs, data models, and distributed or integration-heavy systems, including authentication, identity, permissions, secure data flows, and partial-failure behavior.
- Experience owning production systems at scale, including observability, performance, testing, incident response, safe migrations, staged rollout, and rollback.
- Experience building applied-AI or conversational products and evaluating probabilistic behavior with grounding, quality signals, and human-feedback loops.
- Experience building dashboards, data visualizations, or workflow and insight products that make complex information understandable and actionable.
- Familiarity with experimentation, product metrics, and iterative development, including instrumenting user outcomes from first use through retained usage.

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