Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Python @ 5
JavaScript @ 5
API @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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.