Spotify

60 Spotify Data Software Engineer Jobs Hiring Near You

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 ...

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... You have 3+ years of experience working in data engineering or a related field * You are ...

Maintain and enhance Spotify's reporting pipelines, ensuring they remain business-critical * Build ... Commitment to agile software processes, data-driven development, reliability, and responsible ...

Full Stack Engineer - Podcast

New York, NY · On-site +1

$150K - $189K/yr

Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on ... Collaborate closely with a talented group of engineers, product managers, designers and data ...

Podcast R&D is a product and technology team within Podcast Vertical at Spotify, focused on ... Collaborate closely with a talented group of engineers, product managers, designers and data ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... in software engineering, data analysis, and machine learning • Proficient in programming ...

Frontend Engineer - Music

New York, NY · On-site

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Integrate frontend systems with multiple backend services to support scalable and reliable data ...

Frontend Engineer - Music

New York, NY · On-site +1

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Integrate frontend systems with multiple backend services to support scalable and reliable data ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is a company that focuses on building a next generation advertising platform for audio and ... in software engineering, data analysis, and machine learning • Proficient in programming ...

Senior Sales Engineer - Backstage

New York, NY · On-site +1

$160K - $228K/yr

A Spotify Backstage Sales Engineer is responsible for mainly pre-sales work with prospects to ... Strong background in software engineering or DevOps, with knowledge of Kubernetes, CI/CD, and other ...

Backend Engineer - Platform

Toronto, ON · On-site

CA$103K - CA$147K/yr

... ship software every day. As part of Starfleet, you'll help shape the foundation of Spotify ... If you would like more information about how your data is processed, please contact us. Find our AI ...

A Spotify Backstage Sales Engineer is responsible for mainly pre-sales work with prospects to ... Strong background in software engineering or DevOps, with knowledge of Kubernetes, CI/CD, and other ...

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Spotify Jobs Information

What is it like to work at Spotify?

Spotify is known for its collaborative and innovative culture, prioritizing creativity, experimentation, and employee well-being. The company's flat organizational structure and open communication channels allow teams to work closely together, fostering a sense of community and driving the development of new music streaming features and services. Working at Spotify may appeal to candidates who are passionate about music, technology, and innovation, and who are looking for a dynamic and fast-paced work environment that offers opportunities for growth and professional development.
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Infographic showing various Data Software Engineer job openings at Spotify in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Product Manager - Data Platform

Spotify

Toronto, ON • On-site

Other

Posted 20 days ago


Job description

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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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