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Product Engineer, Marketing Innovation

OpenAI·San Francisco, CA·On-site
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$230k–$385kSeniorfull-timeVisaPosted 2026-06-15

About the Team

Marketing Innovation is a product engineering team embedded within OpenAI's broader Demand Gen and Marketing organization. The team builds agentic, AI-native systems that directly drive revenue, pipeline, and marketing leverage.

About the Role

We're looking for product-minded software engineers to join the Marketing Innovation team. You will build and own autonomous, customer-facing agentic systems that interface directly with enterprise customers, prospects, and revenue-critical workflows.

You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and marketing efficiency.

What You'll Do

  • Build autonomous and semi-autonomous customer-facing and internal agentic systems that directly drive revenue, pipeline, and marketing efficiency
  • Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evals
  • Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment
  • Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements
  • Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures
  • Continuously iterate based on live usage, agent behavior, and performance data

What We Look For

  • 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems
  • Built, deployed, or operated complex systems in production, ideally including agents or automation at scale
  • Comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end-to-end
  • Fluent in Python or JavaScript and comfortable building full-stack applications
  • Hands-on experience with APIs, cloud infrastructure, orchestration, and production monitoring
  • Curious about modern AI models and excited to experiment with how evolving capabilities change system design
  • Familiarity with sales, marketing, or go-to-market workflows, or eager to learn how revenue systems operate

Compensation

  • $230,000 - $385,000 + equity

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