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

• Designing, building, and maintaining data pipelines, models, and infrastructure for analytics • Partnering with analytics, guest engagement, media, and technology teams to ensure data reliability • Owning the transformation of raw data to trusted, analytics-ready datasets • Establishing and evolving modeling standards for consistency, performance, and usability • Owning the development and maintenance of cloud-based ETL/ELT pipelines • Monitoring pipeline health, data freshness, and quality; solving issues impacting analytics or client reporting • Implementing data quality checks and maintaining clear documentation of data processes • Collaborating with cross-functional teams to understand evolving data needs

• Design, build, and evolve scalable analytical data models, ensuring quality, performance, and alignment with the strategic needs of partner teams • Define and prioritize the data roadmap, connecting business objectives, strategic vision, and technical feasibility • Standardize processes and create documentation for historical data and new data products • Apply a product-minded approach to data to optimize and create data products that drive business impact • Serve as a technical and consultative reference for stakeholders, translating business problems into robust analytical solutions • Promote analytical autonomy across business teams, strengthening the company’s data-driven culture • Mentor and develop analysts and analytics engineers, supporting technical growth, best practices, and a sense of ownership • Contribute to the evolution of data architecture and infrastructure in partnership with the Platform team • Define and enforce quality standards, including testing, versioning, documentation, and monitoring of pipelines and analytical models

• Design and develop ETL processes • Convert existing PL/SQL procedures into SSIS packages • Troubleshoot existing ETL solutions • Query Oracle databases for data analysis and data quality assurance