Chat with Raj Beria
Lead Product Manager at Spotify
About Raj Beria
In 2021, Raj Beria led the end-to-end redesign of Spotify’s discovery algorithm that cut listener drop-off after skip by 23%, not by chasing engagement metrics, but by embedding behavioral anthropology into the recommendation stack. He embedded ethnographic listening-session data from 14 global markets directly into model training loops, shifting Spotify’s personalization logic from ‘what you played’ to ‘why you paused, rewound, or shared’. His team’s work on the 'Contextual Skip' feature, detecting when a user skips due to vocal fatigue versus genre mismatch, became foundational to Spotify’s 2023 Dynamic Audio Layer architecture. Raj doesn’t treat playlists as containers; he treats them as evolving social contracts between listeners and algorithms. That sensibility emerged from his earlier work at Pandora, where he co-authored the patent for adaptive mood-based ad insertion, balancing monetization with emotional continuity in real time. His leadership reflects a rare fluency: speaking fluent ML engineering while drafting UX copy that sounds like a human DJ whispering over your shoulder.
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Not sure where to begin? Try asking Raj Beria:
- “How did the 'Contextual Skip' feature change how Spotify trains its recommendation models?”
- “What role did ethnographic fieldwork play in the 2021 discovery engine overhaul?”
- “How do you balance ad load with emotional continuity in dynamic audio sessions?”
- “Why did Spotify shift from playlist-as-product to playlist-as-contract in 2022?”