OpenAI

Product Engineer, Marketing Innovation

Builds and owns customer-facing autonomous agent systems that drive pipeline and revenue for OpenAI's demand gen and marketing organization.

The role

This role sits inside a product engineering group that works alongside the Demand Gen and Marketing organization at OpenAI. The group builds AI-native systems meant to generate revenue and marketing leverage, focusing on problems too complex for low-code tooling. The engineer would take projects from loose problem statements to live systems that interact with prospects and enterprise customers.

What you would do

  • Create semi-autonomous agent systems, both customer-facing and internal, aimed at revenue, pipeline, and marketing efficiency
  • Carry projects end to end, from rough prototypes to dependable production services with solid monitoring and evaluation
  • Build across the stack spanning service interfaces, workflow orchestration, data pipelines, front-end surfaces, and releases
  • Work with marketing, demand gen, and enterprise sales leaders to set success measures and functional needs
  • Use OpenAI models and tooling creatively, weighing trade-offs among models, platforms, and system designs
  • Refine systems continuously using live usage data, agent behavior, and performance metrics

What they asked for

  • Four or more years building software, product, or ML systems that face users or customers
  • Track record shipping and running complex production systems, ideally with agents or large-scale automation
  • Able to define problems and execute independently without a prepared task list
  • Proficient in Python or JavaScript and capable of developing full-stack applications
  • Practical experience with service interfaces, cloud platforms, workflow coordination, and live monitoring
  • Interest in current AI models and in how changing capabilities affect design decisions

Nice to have

  • Exposure to sales, marketing, or go-to-market processes, or a strong drive to learn how revenue operations function
  • Comfort with fast-paced, self-directed ownership focused on measurable commercial results
  • Collaborative, practical temperament aimed at pushing applied AI forward
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