The opportunity
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.
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.
What they're looking for
- 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.
