Description
- 2+ years of end to end product delivery experience
- 5+ years of technical product or program management experience
- Bachelor's degree
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience in building and driving adoption of new tools
- Experience with technologies like Hadoop, Rules based systems and Machine learning
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
- 5+ years of technical product or program management experience
- Bachelor's degree
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Experience in building and driving adoption of new tools
- Experience with technologies like Hadoop, Rules based systems and Machine learning
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
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