Product Manager - Data Platform

About this role

Spotify ’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Data is a means to an end, and Spotify extracts value from data through application. The Data Platform Studio helps Spotify win by enabling the application of data in an intuitive and efficient way. Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, analysts, and machine learning practitioners who build Spotify’s products.

As AI agents increasingly generate code, write data pipelines, and power personalized user experiences, Data Platform sits at the center of one of the most important infrastructure domains at Spotify. We're looking for a passionate Product Manager to join the team responsible for Spotify’s data catalogue, metadata, and data lineage capabilities. In this role, you'll own the strategy and roadmap for a critical part of Spotify's data ecosystem, helping users discover, understand, trust, and safely use data at scale.

You'll work closely with engineers, designers, data scientists, and product teams across Spotify to make working with data faster, safer, and more intuitive. What You'll Do Develop and own the product strategy and roadmap for Spotify's data catalogue, metadata, and data lineage domain. Diagnose and deeply understand the needs of Spotify's data community, including data engineers, data scientists, analysts, ML engineers, and increasingly AI agents.

Identify and prioritize the highest-impact problems to solve, balancing user needs, business priorities, platform requirements, and regulatory considerations. Evaluate and deliver solutions through building, buying, or integrating third-party products and capabilities. Define success metrics and KPIs that measure adoption, value creation, and business impact. Build strong relationships with internal product, engineering, analytics, and data teams to understand workflows, gather feedback, and shape future platform investments.