Product Manager - Data Platform
New
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.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- Product Management
Requirements
- 2+ years of Product Management experience.
- Experience with platform products, developer tools, data infrastructure, analytics platforms, or data governance systems.
- Technical foundation through a degree in Computer Science, Engineering, or a related field.
- Prior experience in engineering or technical roles.
- Ability to engage in technical discussions while representing customer and business needs.
- Excellent communication and collaboration skills to build alignment across diverse teams.
- Strong systems-thinking skills to connect workflows, platforms, and business outcomes.
- Empathy for data practitioners and understanding of their challenges.
- Ability to work through ambiguity and break down complex problems.
- Curiosity about AI and its impact on the data landscape.
Responsibilities
- 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 high-impact problems, balancing user needs, business priorities, and regulatory considerations.
- Evaluate and deliver solutions through building, buying, or integrating third-party products.
- Define success metrics and KPIs to measure adoption, value creation, and business impact.
- Build relationships with internal teams to gather feedback and shape future platform investments.
- Collaborate with engineering, design, and data science partners to deliver platform experiences.
- Influence stakeholders across the Data Platform Studio and broader organization.
- Shape how Spotify approaches metadata, governance, discoverability, and trust in an AI-driven world.
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