Software Engineer, GTM Growth Engineering

The role

This engineer sits within the go-to-market growth group, which builds internal AI-native systems for OpenAI's sales and B2B marketing organizations. The role covers product work from interface design through backend services and launch readiness, with a strong focus on measurable business outcomes. It is based in San Francisco and works closely with product, design, data science, and GTM partners.

What you would do

• Build AI-assisted tools that help sellers and marketers find opportunities, organize work, and reach customers
• Take product features from early prototype through launch, instrumentation, and ongoing hardening
• Craft user flows that pair clean interfaces with dependable services and structured data
• Develop review interfaces so people can oversee and refine automated or AI-driven workflows
• Ship frontend apps, backend APIs, and connections to internal business systems
• Use usage data, user feedback, and metrics to diagnose friction and quality issues
• Work alongside non-engineering partners to turn ambiguous operational problems into concrete requirements
• Balance speed, quality, accessibility, reliability, privacy, and safety in technical decisions

What they asked for

• Four or more years building polished, user-facing software as an engineer across product or full-stack roles
• Solid frontend or full-stack skills spanning modern web apps, APIs, and stateful interfaces
• Proven ability to shape vague ideas into shipped products that people actually use
• Experience in fast-changing 0-to-1 settings where requirements and metrics are still forming
• Genuine interest in applying AI carefully to everyday work tasks
• High standards for interface polish, accessibility, reliability, and empathy for users
• Comfort using data and experiments to find problems and drive improvements
• Ability to explain technical trade-offs clearly to cross-functional colleagues
• Good judgment when handling customer data and consequential operational decisions

Nice to have

• Background building sales, marketing, growth, revenue, support, or internal tooling systems
• Hands-on work with AI-powered apps, agent-assisted flows, or language model integrations
• Familiarity with product analytics, experimentation, or lightweight evaluation frameworks
• Prior work where reliability, privacy, safety, and human oversight carry significant weight
• Experience designing admin, reporting, or operations surfaces for both individuals and teams