Spotify Logo

Spotify

Product Manager - Data Platform

Posted 3 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Junior
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Junior
Own strategy and roadmap for Spotify's data catalogue, metadata, and lineage. Prioritize user needs, deliver solutions (build/buy/integrate), define KPIs, collaborate with engineering, design, and data teams, and influence stakeholders to improve data discoverability, governance, trust, and AI-driven workflows.
The summary above was generated by AI

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 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.

Similar Jobs

13 Days Ago
Remote
Canada
Senior level
Senior level
Software
Lead platform and data strategy by defining microservice platform services, API contract and governance, Snowflake lakehouse direction, and data monetization. Partner with architecture, engineering, analytics, and commercial teams to drive platform performance, scalability, international readiness, and developer experience while influencing cross-functional teams without direct authority.
Top Skills: Api VersioningAPIsData PipelinesData WarehousingDistributed SystemsMicroservicesSnowflakeSoc 2
3 Hours Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Productivity • Software • Automation
As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.
Top Skills: Cloud InfrastructureLlm OpsMl OpsPythonTypescript
6 Hours Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.
Top Skills: AWSAzureCi/CdClaudeContainerizationCopilotCrewaiCursorDigital Asset ManagementDrupalEmbedding ModelsGCPHermes AgentLangchainLangfuseLanggraphLlamaindexLlm Fine-TuningOpenclawOpencodeOpenspecPydanticPythonRagTemporalVector Databases

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account