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Spotify’s Personalization team helps every listener decide what to play next. Together, we power some of Spotify’s most-loved features, from Daily Mix to Discover Weekly, helping hundreds of millions of listeners discover music, podcasts and audiobooks they love. We’re also hard at work building the recommendation technologies of tomorrow, powered by ground breaking innovations in machine learning and generative AI. At the heart of our recommender systems lies a powerful data platform that ingests, stores, models and serves behavioural data about our users. This platform helps us gain a deep understanding of what each user likes (and dislikes!), and enables our internal customer-squads to power listener-facing experiences.
We’re looking for a Senior Product Manager to work across 2 cross-functional squads, who own and operate this platform. You’ll collaborate with both squads and work closely with a wide range of stakeholders to understand how best we can serve important use-cases across the business. You’ll keep in lock-step with Spotify’s wider product vision for AI, and you’ll own the strategy for how our user-data will help bring this vision to life. You’ll work within the “Recommendation Foundations” product area, within our “AI Foundations” organization. We ask that you be physically located in Eastern Standard/Daylight time zones, for the purposes of our collaboration hours.
What You'll Do
- Drive the product vision, product strategy and roadmap for our user-behaviour data platform, and foundational tools, all of which are foundational in Spotify’s personalization stack.
- Partner with cross-functional teams—including engineering, ML research, and user research—to build and scale a wide range of datasets and services for internal customer-squads.
- Lead important efforts within our company-wide initiative on building next-generation recommendation technologies.
- Work with ML engineers and research scientists to Investigate, explore and evaluate emerging techniques and technologies in generative AI.
- Partner with key collaborators across Spotify to align on what data is most important, and how to ingest, model and serve it.
- Leverage experimentation and data to iterate quickly and drive continuous improvements.
- Cultivate a culture of innovation and learning within the team, focusing the needs of your internal-customers.
- Serve as a key evangelist for "AI-first" product thinking across Spotify and help craft the future of AI Product Management at Spotify.
Who You Are
- You have a proven track record of delivering large, complex platforms for internal customers.
- A “Platform PM”, with a strong customer-centric approach for internal stakeholders.
- Passionate about machine learning, data engineering and personalization (including familiarity with modern data structures, access patterns, and data-governance processes).
- Experienced in leading cross-functional teams spanning multiple disciplines, including engineering, design, ML, and business stakeholders.
- Comfortable managing multiple workstreams or products in parallel, demonstrating coordination and prioritization across teams and partners.
- A “systems thinker” who excels at navigating ambiguity, setting strategy, and prioritizing effectively in fast-moving technical domains.
- A confident collaborator who builds strong, positive relationships with partners and team members at all levels.
- A skilled, persuasive communicator, both in person and in writing.
- Excited to be at the forefront of Spotify’s AI-first product evolution, with a focus on innovation, iteration, and impact.
Where You'll Be
- This role is based in New York City.
- 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.
The United States base range for this position is $142,203 - $203,147 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, a monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our 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. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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