Software Engineer, Enterprise Verticals

Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. This opening sits within the Technology vertical inside Enterprise Verticals. 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. 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.

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

Full-stack product engineer able to own ambiguous enterprise workflows end to end; Understand customer problems, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners; Strong product engineer with excellent product judgment; Comfortable moving across frontend, backend, APIs, data, and systems integration; Communicates clearly with customers and cross-functional partners; Uses evidence and tests to make ambiguous work observable; Cares about enterprise permissions, reliability, privacy, and rollout safety; Has shipped a user-facing product through ambiguity and can explain the decisions, tradeoffs, and evidence behind it; Can translate a concrete customer workflow into a general product without losing the details that make the first experience useful

Nice to have

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