Michelle currently works at Spotify as the Product Owner of the Recommendations and Personalization Platform. She leads a cross-functional team of back-end and machine learning engineers focused on improving the recommendations that power many of the surfaces of Spotify; these include the popular playlists such as “Discover Weekly” and “Daily Mix” as well as features such as Search and Home. Prior to joining Spotify, Michelle spent 2.5 years at KAYAK as the Head of Product for Hotels, where she owned cross-platform product development for the end-to-end user journey from Search to Purchase. She has a passion for design, user experience, and machine learning, specifically as they relate to improving search, discovery and personalization.
Spotify & Sofar Sounds Present: The Future of Listening - Data and Music
Tune in for an in-depth discussion about what data-driven technology means for the music industry and where it's going in the future.
So You Want to Be a Product Manager...
Considering a career as a Product Manager? Curious about what a day-to-day job in product management looks like at a top company? Join us to learn more.
Data & Music
Your Spotify Discover Weekly playlist is gold. But, despite how personalized it feels, it’s not your best friend pouring hours into this hyper-curated mixtape. It's data science.