Summary
Jonathan Marmor is a music-focused technology advisor and seasoned engineering leader with 15+ years building personalization, recommendation, and generative-AI products for music at scale. At Spotify he led cross-functional teams responsible for flagship experiences like Discover Weekly, Daily Mix, Smart Shuffle and experimental formats such as AI DJ, Promptable Playlists, vertical video discovery feeds, and social listening features. He combines deep technical chops in recommender systems and music generation with a musician’s sensibility—having composed, studied North Indian classical music, and automated his composition process for 25+ years. Jonathan founded the Monthly Music Hackathon to seed community-driven music-tech innovation and now helps startups go from zero-to-one on AI-driven music products, prototyping, team growth and strategy. He’s motivated by connecting diverse audiences to diverse creators, bringing both product rigor and creative empathy to solve hard problems at the intersection of music and AI.
15 years of coding experience
20 years of employment as a software developer
MFA Music Composition, MFA Music Composition at CalArts
Tabla, Tabla at Lenny Seidman
North Indian Classical Music, North Indian Classical Music at Ali Akbar College of Music
Tabla, Tabla at Pandit Swapan Chaudhuri
BFA Indian Music Music Composition, BFA Indian Music Music Composition at California Institute of the Arts