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Product Manager - Data Platform

Spotify · Sweden, United Kingdom · full-time · Remote

Productfull-timeRemoteSweden, United Kingdom
Product & OperationsSenior
RemoteJobs editorial overview

Strategic Overview

Product Manager - Data Platform at Spotify is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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…

The role is listed for Sweden, United Kingdom with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Product & Operations, Senior.

Job seeker snapshot

Key information at a glance

Role focusProduct
LocationSweden, United Kingdom
WorkplaceRemote
Employmentfull-time
Experience2+ years
PostedOct 25, 2026
Last seenOct 25, 2026
Role context

About This Role

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.

Data is a means to an end, and Spotify extracts value from data through application. The Data Platform Studio helps Spotify win by enabling the application of data in an intuitive and efficient way.

Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, analysts, and machine learning practitioners who build Spotify’s products. As AI agents increasingly generate code, write data pipelines, and power personalized user experiences, Data Platform sits at the center of one of the most important infrastructure domains at…

What the role delivers

Key Responsibilities & Objectives

  • 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.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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.
Compensation & benefits

Salary & Benefits

The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

Data is a means to an end, and Spotify extracts value from data through application. The Data Platform Studio helps Spotify win by enabling the application of data in an intuitive and efficient way.

Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, analysts, and machine learning practitioners who build Spotify’s products. As AI agents increasingly generate code, write data pipelines, and power personalized user experiences, Data Platform sits at the center of one of the most important infrastructure domains at Spotify.

We're looking for a passionate Product Manager to join the team responsible for Spotify’s data catalogue, metadata, and data lineage capabilities. In this role, you'll own the strategy and roadmap for a critical part of Spotify's data ecosystem, helping users discover, understand, trust, and safely use data at scale. You'll work closely with engineers, designers, data scientists, and product teams across Spotify to make working with data faster, safer, and more intuitive.

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.
  • 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 to align around product direction and priorities.
  • 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 London or Stockholm
  • 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.

Compensation

Additional Information

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This product opening is a useful opportunity for candidates whose experience matches Product & Operations, Senior. Its strongest career signal is the scope of the work itself — particularly Develop and own the product strategy and roadmap for Spotify's data catalogue, metadata, and data lineage domain. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Product & Operations, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyjobicy

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.