The ideal candidate is a systems-thinker who understands how to build scalable cloud infrastructure while optimizing for the unique challenges of streaming large-scale robotics data.

Key responsibilities include:

• Leading, mentoring, and growing a team of five full stack software engineers
• Taking full ownership of our in-house visualization stack, including developing custom JavaScript extensions to overlay complex 3D data
• Overseeing the development of web applications used by data analysts to annotate vehicle events
• Ensuring seamless integration between backend and frontend interfaces, managing the lifecycle of data from mcap files to ML training sets via automated workflows
• Owning and maintaining the backend multimodal file server, ensuring the reliable streaming of data from our on-prem data centers to browser-based clients

The successful candidate will have a Bachelor's Degree in Electrical Engineering, Computer Science, or a related field, and deep expertise in Node.js and React frameworks. Experience with Foxglove Studio or similar robotics visualization platforms is also required.

Additional qualifications include a strong understanding of server-client architecture, proven experience deploying and managing full stack applications on private/public cloud, and proficiency handling large-scale multimodal data formats (mcap, rosbag).

As an established global company, we offer a range of benefits, including immediate medical, dental, vision, and prescription drug coverage, flexible family care days, paid parental leave, and tuition assistance.

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About the role

We’re looking for product-minded software engineers to join the Marketing Innovation team.

As a Software 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,

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Product Engineer, Marketing Innovation

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

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 be guided by a deep understanding of the potential risks and benefits of AI.

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