Product Manager - Data Platform
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Key skills for this role
About the Role
Spotify seeks a Product Manager for its Data Platform team to own the strategy and roadmap for data catalogue, metadata, and data lineage. You will work with engineers, data scientists, and product teams to make data discovery and governance intuitive.
Key Skills for This Role
Responsibilities
- Develop and own the product strategy and roadmap for Spotify's data catalogue, metadata, and data lineage domain
- Diagnose and understand the needs of Spotify's data community including data engineers, data scientists, analysts, ML engineers, and AI agents
- Identify and prioritize high impact problems balancing user needs, business priorities, platform requirements, and regulatory considerations
- Evaluate and deliver solutions through building, buying, or integrating third party products
- Define success metrics and KPIs that measure adoption, value creation, and business impact
- Build strong relationships with internal product, engineering, analytics, and data teams
- Collaborate closely with engineering, design, and data science partners to deliver high quality platform experiences
- Influence stakeholders across the Data Platform Studio and broader Spotify organization
- Help shape how Spotify approaches metadata, governance, discoverability, lineage, and trust in an AI driven world
- Stay informed on industry trends across data platforms, developer tools, AI/ML infrastructure, analytics, and data governance
Requirements
- 2+ years of Product Management experience, ideally on platform products, developer tools, data infrastructure, analytics platforms, or data governance systems
- Technical foundation through a degree in Computer Science, Engineering, or related field, and/or prior experience in engineering or technical roles
- Comfortable working with engineers and engaging in technical discussions while representing customer and business needs
- Excellent communication and collaboration skills to build alignment across teams
- Strong systems thinking skills and ability to connect workflows, platforms, users, and business outcomes
Full Job Posting
Overview
- Data Platform is responsible for how data is collected, processed, stored, governed, and made available to thousands of engineers, data scientists, analysts, and ML practitioners.
- We're looking for a Product Manager to own the strategy and roadmap for Spotify's data catalogue, metadata, and data lineage capabilities.
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 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.
- Collaborate closely with engineering, design, and data science partners to deliver high quality platform experiences.
- Influence stakeholders across the Data Platform Studio and broader Spotify organization.
- Help shape how Spotify approaches metadata, governance, discoverability, lineage, and trust in an increasingly AI driven world.
- Stay informed on industry trends across data platforms, developer tools, AI/ML infrastructure, analytics, and data governance.
Who You Are
- You have 2+ years of Product Management experience, ideally working on platform products, developer tools, data infrastructure, analytics platforms, or data governance systems.
- You have a technical foundation through a degree in Computer Science, Engineering, a related field, and/or prior experience in engineering or technical roles.
- You are comfortable working with engineers and can engage in technical discussions while representing customer and business needs.
- You are an excellent communicator and collaborator who can build alignment across teams with different priorities and levels of technical expertise.
- You have strong systems thinking skills and can connect workflows, platforms, users, and business outcomes.
- You have empathy for people who work with data and understand the challenges they face every day.
- You enjoy working through ambiguity, breaking down complex problems, and creating clarity for teams.
- You are curious about how AI is transforming the data landscape and are excited to help shape that future.
- You lead with humility, build trust through collaboration, and help teams move forward with focus and momentum.
Where You'll Be
- This role is based in 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.
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