Principal Product Manager Tech, Amazon Music AI and Personalization

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. Learn more at Amazon Music Personalization and AI Innovation teams vision is to offer Amazon customers delightfully personalized audio experiences by building world class customer and language understanding content recommendations and experience optimization platforms. As a team we play multiple roles at Amazon Music - one we develop sophisticated models scaled platforms and flexible capabilities offer them to internal teams and experiment with them across experiences to improve the quality. We are seeking an experienced Principal Technical Product Manager to drive the product roadmap and strategy for the foundations team. The Foundations team is focusing on providing key platform offerings that allow Amazon Music to scale its algorithms and systems to billions of events while providing the highest possible quality for customers.


Key job responsibilities
As a Principal Technical Product Manager for Foundations team based in Berlin you will help our team define and execute a strategy for becoming the worlds most personalized audio streaming service. This role will be focused on leading strategy across two core teams: the first is focused on the underlying infrastructure and capabilities teams use to incubate experiment and scale; the second is focused on developing quality assessment approaches that allow teams to understand what is working in customer experiences and why. You will work with scientists engineers program managers and a variety of cross functional partners to understand their needs define a clear vision and strategy make prioritization decisions invest in the next generation of models and features and deploy them across experiences to improve personalization. As the most senior product leader in Berlin youll aid in the development and growth of the product team and overall office.

A day in the life
You will run prioritization discussions with your local team do tech deep dives and help launch experiments. You will do product discovery to understand internal and external customer problems and write think big documents to propose ambitious solutions and ideas. You will lead them through strategy and execution to deliver value for Amazon Music. You will celebrate wins with the team. Often you will interact with internal customers on the US west coast or cross-org attend team meetings. You will travel to our LA/SF/Seattle offices to meet partners roughly twice a year.

- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience in technical product management program management or engineering
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience with end to end product delivery
- Bachelors degree in Computer Science Engineering a related field or equivalent experience

- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies business analysis or process improvement
- Experience with AWS Azure or Google Cloud technology
- Demonstrated experience driving product roadmap and strategy at scale
- Experience working with scaled GenAI applications

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