Product Engineer, Marketing Innovation

at OpenAI
USD 255,000-405,000 per year
MIDDLE
✅ On-site
✅ Relocation

Used Tools & Technologies

Machine Learning

Required Skills & Competences

Marketing @ 3 Python @ 5 JavaScript @ 5 API @ 3 AI @ 3

Details

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.

Our mandate is to own and scale autonomous, customer-facing and internal systems that operate at massive scale. This includes building autonomous, customer-facing systems that engage with prospects, generate pipeline and revenue, and shape the future of how marketing and revenue teams operate in an AI-native world.

We focus on problems that exceed the limits of low-code tools and long-tail workflow automation. When a problem requires a native product experience, deep system integration, and high standards for precision, safety, and reliability, Marketing Innovation steps in.

Role overview

We’re looking for product-minded software engineers to join the Marketing Innovation team. As a Product Engineer on this team, you will build and own autonomous, customer-facing agentic systems that interface directly with enterprise customers, prospects, and revenue-critical workflows. You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production-grade systems.

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. This role is ideal for engineers who want ownership over real systems, enjoy building 0→1 products, and are excited to define new categories of AI-native products and workflows.

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 evaluations.
  • 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

  • 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems.
  • Experience building, deploying, or operating 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 eagerness to learn how revenue systems operate.
  • Strong sense of ownership, ability to move quickly, and focus on measurable business outcomes.
  • Collaborative, pragmatic, and motivated to build at the frontier of applied AI.

Benefits and compensation

  • Base salary range: $255,000 - $405,000 (offers equity; total compensation may include bonuses and additional components).
  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental leave and paid medical and caregiver leave.
  • Paid time off (flexible PTO for exempt employees and up to 15 days annually for non-exempt employees).
  • 13+ paid company holidays and multiple coordinated office closures each year.
  • Mental health and wellness support; employer-paid basic life and disability coverage.
  • Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
  • Relocation support for eligible employees.
  • Additional taxable fringe benefits may include charitable donation matching and wellness stipends.

Other information

  • Background checks will be administered in accordance with applicable law.
  • OpenAI is an equal opportunity employer and provides accommodations for applicants with disabilities.