Software Engineer, Marketing Innovation

OpenAI OpenAI · AI Frontier · San Francisco, CA · Go To Market

Software Engineer role focused on building and owning autonomous, customer-facing agentic systems that drive revenue and pipeline for OpenAI's marketing and sales organizations. The role involves full-stack development, API integration, orchestration, and applying OpenAI models to create AI-native products and workflows.

What you'd actually do

  1. Build autonomous and semi‑autonomous customer‑facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.
  2. Own end‑to‑end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.
  3. Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.
  4. Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.
  5. Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.

Skills

Required

  • 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
  • Operate with a strong sense of ownership, move quickly, and care deeply about measurable business outcomes
  • Collaborative, pragmatic, and motivated to build at the frontier of applied AI

Nice to have

  • Familiarity with sales, marketing, or go-to-market workflows, or are eager to learn how revenue systems operate

What the JD emphasized

  • customer-facing
  • agentic systems
  • drive revenue
  • drive pipeline
  • enterprise customers
  • revenue-critical workflows
  • production-grade systems
  • autonomous
  • customer-facing
  • internal systems
  • revenue
  • pipeline
  • marketing leverage
  • autonomous
  • customer-facing
  • revenue
  • pipeline
  • marketing efficiency
  • autonomous
  • semi-autonomous
  • customer-facing
  • internal agentic systems
  • Revenue
  • Pipeline
  • Marketing efficiency
  • end-to-end product execution
  • production systems
  • full stack
  • enterprise sales
  • OpenAI models
  • live usage
  • agent behavior
  • customer-facing systems
  • agents or automation at scale
  • framing problems
  • proposing solutions
  • executing end-to-end
  • modern AI models
  • revenue systems
  • measurable business outcomes
  • applied AI

Other signals

  • builds agentic systems
  • customer-facing systems
  • drive revenue and pipeline
  • apply OpenAI models in novel ways