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Product Engineer, Marketing Innovation
OpenAI·San Francisco, CA·On-site
$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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