Product Engineer, Marketing Innovation

OpenAI • San Francisco, CA

5d

About The Position

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.
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.

Requirements

• 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.
• Have hands‑on experience with APIs, cloud infrastructure, orchestration, and production monitoring.
• Are 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.
• Are collaborative, pragmatic, and motivated to build at the frontier of applied AI.

Nice To Haves

• Have familiarity with sales, marketing, or go‑to-market workflows, or are eager to learn how revenue systems operate.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed