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 AreYou 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 BeThis 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.
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