Senior Product Manager - Personalization
Spotify
Senior Product Manager - Personalization
Job Description
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.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- hands-on experience in machine learning and AIintermediate
- modern ML systemsintermediate
- data infrastructureintermediate
- large model training and evaluationintermediate
- working with internal customersintermediate
- persuasive communicatorintermediate
- leading complex, multi-team initiativesintermediate
- system-level thinkingintermediate
- strategic prioritizationintermediate
- fostering alignmentintermediate
Required Qualifications
- You have a proven track record as a Platform or Infrastructure PM, with hands-on experience in machine learning and AI. (experience)
- You’re deeply familiar with modern ML systems, data infrastructure, and large model training and evaluation. (experience)
- You thrive working with internal customers, balancing their needs with technical realities. (experience)
- You’re a skilled, persuasive communicator, both in person and in writing. (experience)
- You’re comfortable leading complex, multi-team initiatives in ambiguous technical domains. (experience)
- You excel at system-level thinking, strategic prioritization, and fostering alignment. (experience)
- You’re energized by the opportunity to define how Spotify builds, trains, and serves its next generation of generative recommender systems. (experience)
- You’re located in (or willing to work within) Eastern Time Zone (ET). (experience)
- This role is based in New York City or Boston. (experience)
Responsibilities
- 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.
Benefits
- general: 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.
Tags & Categories
Senior Product Manager - Personalization
Spotify
Senior Product Manager - Personalization
Job Description
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.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- hands-on experience in machine learning and AIintermediate
- modern ML systemsintermediate
- data infrastructureintermediate
- large model training and evaluationintermediate
- working with internal customersintermediate
- persuasive communicatorintermediate
- leading complex, multi-team initiativesintermediate
- system-level thinkingintermediate
- strategic prioritizationintermediate
- fostering alignmentintermediate
Required Qualifications
- You have a proven track record as a Platform or Infrastructure PM, with hands-on experience in machine learning and AI. (experience)
- You’re deeply familiar with modern ML systems, data infrastructure, and large model training and evaluation. (experience)
- You thrive working with internal customers, balancing their needs with technical realities. (experience)
- You’re a skilled, persuasive communicator, both in person and in writing. (experience)
- You’re comfortable leading complex, multi-team initiatives in ambiguous technical domains. (experience)
- You excel at system-level thinking, strategic prioritization, and fostering alignment. (experience)
- You’re energized by the opportunity to define how Spotify builds, trains, and serves its next generation of generative recommender systems. (experience)
- You’re located in (or willing to work within) Eastern Time Zone (ET). (experience)
- This role is based in New York City or Boston. (experience)
Responsibilities
- 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.
Benefits
- general: 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.
Tags & Categories