• Design and execute scalable data models and transformation patterns across core data marts that power analytics and AI use cases across the business • Partner cross-functionally to translate business problems into data solutions that support AI-led analytics and intelligent decision making • Define and drive data governance and certification standards that establish trusted, enterprise ready data sets • Define and implement SDLC best practices for data transformation, including documentation, testing and version control to ensure reliability over time • Socialise best practice guides that enable spoke analytics teams to move faster with consistent patterns • Assess existing models and pipelines to identify opportunities to simplify, standardise and improve • Identify and propose new ideas that advance an AI-led analytics experience and improve how insights are generated

• Develop, test, and maintain high-performance dbt data pipelines within our ELT framework. • Own the lifecycle of data products—from understanding the initial business question to deploying the final dashboard or automated insight. • Partner closely with business units (Product, Finance, Ops) to identify value-creation opportunities and translate vague requirements into technical specs. • Build and manage reports that provide 'single source of truth' visibility into company performance at all levels, from executive KPIs to granular operational metrics. • Ensure data integrity and documentation across the warehouse, advocating for best practices in version control and testing.

• 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 • Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate • Work with product and engineering to ensure critical usage data is available and interpreted in useful ways • Collaborate 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

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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 - 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 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 Qualifications - 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 - 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 Requirements - Ability to translate data needs into solutions - Gather context needed to unblock yourself - Build tooling that any teammate is comfortable using Benefits - Salary range: $200,000-260,000 - Commitment to creating a space where employees can bring their full selves to work - Equal opportunity to succeed regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status