Mission Statement
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
We are looking for a passionate Product Manager to join Spotify’s Data Platform Studio. Data Platform’s mission is to enable the application of data in an intuitive and efficient way—helping Spotify extract value from data at scale.
Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify’s products. With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.
What You'll Do
Understand the needs of Spotify’s data community—including engineers, analysts, data scientists, ML engineers, and AI agents—and prioritize the most impactful problems to solve
Define and drive the strategy and roadmap for your product area, connecting it to the broader Platform and company strategy
Evaluate solutions across build, buy, or partner approaches to improve how Spotify works with data
Define success metrics and track adoption, creating a continuous loop of learning and iteration
Collaborate closely with engineering, design, and data science to deliver intuitive, high-impact solutions
Build strong relationships with internal teams to gather feedback and co-evolve tooling and capabilities
Influence stakeholders across the studio and company to align on direction and priorities
Stay current with trends in data platforms, analytics, and AI/ML tooling
Wo You Are
You have 2+ years of product management experience, ideally in data infrastructure, developer tools, or platform products
You have a technical background, such as a degree in Computer Science/Engineering or prior hands-on engineering experience
You are experienced in working with cross-functional teams across engineering, design, and data disciplines
You know how to translate complex technical concepts into clear product direction and strategy
You have a strong systems-thinking mindset and can connect workflows, platforms, and business needs
You care deeply about the experience of people working with data and strive to make their workflows better
You are curious about AI and excited about its impact on data ecosystems
You communicate with clarity, bring people together, and build alignment across different audiences
Where You'll Be
This role is based in London, Stockholm, or Toronto
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
