About the role
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv
This role is for our first-ever product analytics engineering hire, and a fundamental and critical part of the team for a market-defining company in its early stages.
We’re looking for a passionate product analytics engineer to ensure every team at Runway uses data to be as effective as possible in their role. This role is for someone who has a combination of strong technical and data background and experience in understanding the needs of cross-functional partners across every team. You have the ability to take raw data and build tools and platforms on top of it for people to self-serve what they need.
You’ll deeply understand what data we have, how we can better use it, and how to leverage AI tooling both for yourself and our teams to provide speed-of-thought data insights across the company. You’ll be excited to combine prior expertise with the rapidly changing areas of ML, tooling integrations, and our product data in order to do so.
What you’ll do
- Own the data infrastructure and pipelines for business critical product and user data
- Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs
- Take an AI-first approach to scaling Runway’s data tooling and use. You’ll provide the two necessary things that today’s AI systems lack – trust and total context – so data can help drive key decisions in the right direction
- Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate as products and go to market motions rapidly develop
- Work with product and engineering to ensure critical usage data is available and interpreted in useful ways
- Collaborate with with trust and safety teams on signals for detecting misuse or abuse
- Collaborate with marketing and studios teams to help measure impact of all marketing initiatives
- Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis
What you’ll need
- 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data
- 4+ years of experience with SQL, ETL, python, and data modeling
- Collaborative mindset and communication skills; Comfortable working directly with sales, product, finance, and engineering teammates. You can translate data needs into solutions, gather context needed to unblock yourself, and build tooling that any teammate is comfortable using
- Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy
- An added bonus if you have experience as a founding product data analyst or first hire in a data role
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.
Salary range: $200,000-260,000
