Role Overview

The Marketing Innovation team at OpenAI is embedded within the Demand Gen and Marketing organization, building agentic, AI-native systems that directly drive revenue, pipeline, and marketing leverage. We're not building internal tools or low-code automations—we create autonomous, customer-facing systems that operate at massive scale.

As a Product Engineer, you'll own end-to-end execution of production-grade systems that interface directly with enterprise customers, prospects, and revenue-critical workflows. You'll partner with functional leaders across scaled revenue operations, demand generation, and marketing to translate business needs into working software.

This role demands product-minded engineers who thrive in ambiguity, move quickly from problem statements to production impact, and measure success by business outcomes—not lines of code. If you love building 0→1 products and defining new categories of AI-native workflows, this is your opportunity to shape the future at OpenAI.

Key highlights:

• Own autonomous agentic systems that generate real revenue and pipeline
• Full-stack ownership from prototype to production at massive scale
• Direct impact measured by enterprise business outcomes
• Work at the frontier of applied AI in marketing and revenue operations

Key Responsibilities

In this high-impact role, you'll wear many hats across the product development lifecycle. Here's what you'll do daily:

1. Build Autonomous Agentic Systems: Create customer-facing and internal agents that autonomously engage prospects, generate pipeline, and drive revenue while maintaining enterprise-grade precision and safety.
2. End-to-End Ownership: Take features from early prototypes through to reliable production systems, including comprehensive instrumentation, monitoring, and evaluation frameworks.
3. Full-Stack Development: Work across APIs, orchestration layers, data pipelines, frontend experiences, and deployment infrastructure to deliver seamless native product experiences.
4. Stakeholder Partnership: Collaborate closely with marketing VPs, demand gen leaders, and enterprise sales teams to define success metrics, gather requirements, and validate solutions.
5. AI Model Application: Apply OpenAI's latest models and tooling in novel ways, making sophisticated tradeoffs between model capabilities, system architecture, and business requirements.
6. Continuous Iteration: Use live usage data, agent behavior analytics, and performance metrics to rapidly iterate and improve system effectiveness.
7. Scale Engineering: Design systems that handle massive scale while maintaining reliability, safety guardrails, and cost efficiency.
8. Production Excellence: Implement robust monitoring, alerting, logging, and error handling for mission-critical revenue systems.
9. Cross-Functional Impact: Work with data science, product management, and engineering teams to integrate deeply with OpenAI's broader platform.

Your work will be measured by tangible business impact: dollars in revenue, enterprise deals closed, pipeline velocity, and marketing efficiency gains.

Qualifications

We're looking for battle-tested engineers who combine technical excellence with product ownership and business acumen:

• 4+ years experience building user/customer-facing software systems
• Proven track record shipping complex production systems, ideally agentic or automation at scale
• Thrives without groomed backlogs—can frame ambiguous problems and execute end-to-end
• Fluent in Python or JavaScript; comfortable building full-stack applications
• Deep hands-on experience with APIs, cloud infra (AWS/GCP), orchestration (Airflow/Kubeflow), monitoring (Datadog/Prometheus)
• Hands-on with modern AI/ML models and excited by rapid capability evolution
• Familiarity with sales/marketing/revenue workflows (or strong desire to master them)
• Obsessed with measurable business outcomes over engineering theater
• Collaborative team player who communicates effectively with non-technical stakeholders

Bonus: Experience with revenue operations tools (Salesforce, HubSpot, Marketo), agentic frameworks (LangChain, LlamaIndex), or marketing technology stacks.

Salary & Benefits

Competitive Compensation: Total compensation for this role typically ranges from $220,000 - $350,000 USD annually, including base salary, equity, and performance bonuses. Exact offer based on experience and location.

Comprehensive Benefits Package:

• Premium health, dental, vision coverage with 100% premiums covered
• 401(k) with 4%+ company match
• Unlimited PTO + 18 weeks parental leave
• $1,500+ annual learning stipend
• Fitness reimbursement and mental health benefits
• Commuter benefits and catered daily meals
• Equity in OpenAI with significant upside potential

Why Join OpenAI?

OpenAI isn't just building AI—we're deploying it at scale to transform entire industries. The Marketing Innovation team represents the cutting edge of this mission, applying frontier AI capabilities to solve massive business problems in revenue generation.

Your Impact: Every system you build directly drives OpenAI's growth. We're not iterating on features; we're creating entirely new categories of AI-native products.

The Team: Small, high-agency team of ex-FAANG, startup, and research engineers who move fast and ship impact.

The Mission: Ensure AGI benefits all of humanity by building the world's best AI products and infrastructure.

San Francisco headquarters offers unparalleled access to AI talent, venture capital, and the epicenter of technological innovation.

How to Apply

Ready to build the future of AI-driven marketing? Submit your resume and a brief note explaining why you're excited about this specific role. We're moving quickly—top candidates will hear back within 48 hours.

Application Link: [Apply Now]

OpenAI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.