Software Engineer, Enterprise Verticals

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

You Might Thrive in This Role If

• You are a strong product engineer with excellent product judgment.
• You are comfortable moving across frontend, backend, APIs, data, and systems integration.
• You communicate clearly with customers and cross-functional partners.
• You use evidence and tests to make ambiguous work observable.
• You care about enterprise permissions, reliability, privacy, and rollout safety.
• You have shipped a user-facing product through ambiguity and can explain the decisions, tradeoffs, and evidence behind it.
• You can 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.