Software Engineer, Marketing Innovation
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.
What this role actually needs.
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. Responsibilities: - 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. 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. - Have 4+ years of experience as a software, product, or ML engineer working on user‑ or customer‑facing systems. - Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale. - Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end‑to‑end. - Are fluent in Python or JavaScript and comfortable building full‑stack applications. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Marketing Innovation role.
- 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 a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- Have 4+ years of experience as a software, product, or ML engineer working on user‑ or customer‑facing systems.
- Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale.
- Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end‑to‑end.
- Are fluent in Python or JavaScript and comfortable building full‑stack applications.
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United States tech market
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Compensation read
$230K - $385K is visible before the click, so candidates can compare the role against local market expectations before applying.
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Source: jobs.ashbyhq.com · Source ID: 1bb1f351-41a2-43a5-bac1-259859886cb3 · Confidence: 97/100 · Last checked: May 7, 2026
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