Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.
Our vision at the Music ML and Personalization team is to offer Amazon customers delightful personalized audio experiences by building world class customer understanding, content recommendations and experience optimization platforms. As a team, we play multiple roles at Amazon Music - one, we develop ML models, platforms and capabilities, and experiment with them across experiences to improve personalization for music and podcasts across visual and voice experiences; two, we invest in building personalized experiences ourselves like playlists (daily mixes, discovery mixes) and recommenders (new releases for you recommender); and three, we incubate state of the art ML and AI technologies like Generative AI and Large Language Models (LLMs) and leverage them to lift many boats.
Key job responsibilities
As a Senior Technical Product Manager on this team, you will help us build and execute a strategy for becoming the world's most personalized audio streaming service. This role will be focused on ML and personalization capabilities that improve our embeddings and content selection models and services, and our personalized recommenders. This PMT will work cross functionally with stations, sequencing, playlists and recommender owners to understand customer and stakeholder needs, and define strategy to deliver improvements and raise the bar on CX. They will analyze and leverage existing and new technologies to improve the quality of visual and voice experiences.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Our vision at the Music ML and Personalization team is to offer Amazon customers delightful personalized audio experiences by building world class customer understanding, content recommendations and experience optimization platforms. As a team, we play multiple roles at Amazon Music - one, we develop ML models, platforms and capabilities, and experiment with them across experiences to improve personalization for music and podcasts across visual and voice experiences; two, we invest in building personalized experiences ourselves like playlists (daily mixes, discovery mixes) and recommenders (new releases for you recommender); and three, we incubate state of the art ML and AI technologies like Generative AI and Large Language Models (LLMs) and leverage them to lift many boats.
Key job responsibilities
As a Senior Technical Product Manager on this team, you will help us build and execute a strategy for becoming the world's most personalized audio streaming service. This role will be focused on ML and personalization capabilities that improve our embeddings and content selection models and services, and our personalized recommenders. This PMT will work cross functionally with stations, sequencing, playlists and recommender owners to understand customer and stakeholder needs, and define strategy to deliver improvements and raise the bar on CX. They will analyze and leverage existing and new technologies to improve the quality of visual and voice experiences.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA