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.

About the role
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.

In this role, you will:

• 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.

You’ll thrive in this role if you

• 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.

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

• 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.