Sr/Staff Product Manager, ML Products

What you’ll do

• Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market

• Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities

• Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way

• Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features

• Talk with users weekly to uncover use cases and turn feedback into product decisions

• Drive pricing and GTM strategy in partnership with business teams

What you’ll need

• 4+ years of product management experience, including taking products from zero to one

• A strong technical foundation, typically demonstrated by things like the following:

  • A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics

  • Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product)

• Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices

• Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers

• Experience in fast-moving teams, with comfort operating amid ambiguity

• Excellent written and verbal communication skills

Nice to have

• Experience with generative AI, creative tools, or media products

• Experience owning pricing or GTM for a product

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.