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.
Captured June 2026Closed as of Oct 11, 2026 ↗
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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