Product Manager
Data Platform
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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.
Our global benefits