Principal Software Engineer, Enterprise Technology Vertical

Responsibilities

• Set the technical direction for role-specific enterprise AI experiences and personally design, build, and ship critical components across ChatGPT Work surfaces, services, plugins, and connectors.
• Translate ambiguous customer and design-partner needs into clear, generalizable product and technical strategies with milestones, architectural decisions, and measurable quality and adoption goals.
• Lead complex initiatives across Design, Research, GTM, Security, and platform teams; align senior stakeholders, make consequential tradeoffs, and drive decisions through implementation.
• Architect production-grade systems and establish evaluation, instrumentation, security, reliability, staged-rollout, and rollback standards for probabilistic AI experiences.
• Own the complete product and engineering lifecycle from problem definition and technical design through prototyping, production implementation, launch, customer feedback, and sustained iteration.
• Define durable technical contracts and fallback strategies across connectors, identity, permissions, enterprise data, model routing, and shared platform dependencies.
• Raise the engineering bar through architecture reviews, mentorship, and reusable patterns.

Requirements

• Typically 10+ years building production software as a deeply experienced, hands-on product engineer.
• Ability to architect and implement sophisticated systems across frontend, backend, APIs, data, distributed services, and complex enterprise integrations.
• Strong customer communication and ability to influence senior stakeholders and cross-functional teams without formal authority.
• Experience turning uncertainty into disciplined execution plans using experiments, evaluations, instrumentation, and customer evidence.
• Deep understanding of enterprise identity, permissions, privacy, security, performance, reliability, and operational readiness.
• Repeated ownership of important user-facing products from ambiguous beginnings through production use.
• Ability to balance rapid development with foundational investment and build durable products from specific customer workflows.

Preferred Qualifications

• Extensive experience building and operating full-stack production products using React, TypeScript, Python, Go, Node.js, or comparable technologies.
• Experience setting technical direction for complex, integration-heavy, or distributed systems, including APIs, data models, enterprise identity, authorization, secure data flows, and partial-failure behavior.
• Ownership of business-critical production systems at scale, including architecture, performance, observability, testing, incident response, migrations, staged delivery, and operational excellence.
• Experience shipping applied AI, agentic, or conversational products, including model behavior, tool use, grounding, evaluations, human feedback, and reliability of probabilistic systems.
• Experience designing workflow, data, analytics, visualization, or insight products for enterprise users.
• Strong record of technical leadership, mentoring, cross-team architecture, and connecting engineering decisions to customer outcomes and adoption.