Software Engineer, Enterprise Verticals

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.