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Spotify

Senior Product Manager - Personalization

Reposted 3 Days Ago
In-Office or Remote
2 Locations
142K-203K Annually
Senior level
In-Office or Remote
2 Locations
142K-203K Annually
Senior level
The role involves driving product strategy for model evaluation in AI, collaborating with teams to enhance Spotify's generative recommender systems, and ensuring alignment with broader product vision.
The summary above was generated by AI
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 currently hard at work building the recommendation technologies of tomorrow, powered by groundbreaking innovations in machine learning and generative AI. At the heart of this work is our generative recommender system, which is trained on vast datasets and optimized for personalized, steerable user experiences.

We’re looking for a Senior Product Manager for our AI Evaluation team. You’ll collaborate 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 model training and evaluation will bring this vision to life.

You’ll work within the Modeling Foundation product area, within our AI Foundation 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 and strategy for the model evaluation systems for Spotify’s generative recommender system.
  • Partner with cross-functional teams (including engineering, ML research, and user research) to build evaluation datasets, scalable data pipelines and serving systems for model training and deployment.
  • Collaborate with internal customer teams to understand their needs and ensure the generative recommender system can serve diverse use cases across the Spotify ecosystem.
  • Work with ML engineers and research scientists to Investigate, explore and evaluate emerging techniques and technologies in generative AI.
  • Translate highly technical capabilities into clear business value and roadmaps.
  • Leverage experimentation and data to iterate quickly and drive continuous improvements.
  • Cultivate a culture of innovation and learning within your teams.
  • 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 as a Platform or Infrastructure PM, with hands-on experience in machine learning and AI.
  • You’re deeply familiar with modern ML systems, data infrastructure, and large model training and evaluation.
  • You thrive working with internal customers, balancing their needs with technical realities.
  • You’re a skilled, persuasive communicator, both in person and in writing.
  • You’re comfortable leading complex, multi-team initiatives in ambiguous technical domains.
  • You excel at system-level thinking, strategic prioritization, and fostering alignment.
  • You’re energized by the opportunity to define how Spotify builds, trains, and serves its next generation of generative recommender systems.
  • You’re located in (or willing to work within) Eastern Time Zone (ET).

Where You'll Be

  • This role is based in New York City or Boston.
  • 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.

Top Skills

Data Infrastructure
Generative Ai
Machine Learning
Model Evaluation
Model Training

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