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Senior Product Manager-Tech, Amazon Music ML

vor 1 Monat


Berlin, Berlin, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

As a Senior Product Manager for ML & Personalization at Amazon Music, you will play a key role in defining and executing a strategy to become the world's most personalized audio streaming service.

This role will focus on building customer affinities by understanding listening preferences and using it to improve how we rank content recommendations offered to customers.

You will lead early use personalization and work with internal teams to enable and empower them to use our tech primitives to drive retention and engagement.

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.

A Day in the Life

In the morning, 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, in the evening, you will interact with internal customers on the west coast or cross-org attend team meetings. You will travel to our SF/Seattle offices to meet partners roughly twice a year.

What We're Looking For
  • Bachelor's degree
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
  • Experience with end-to-end product delivery
  • Experience in technical product management, program management, or engineering
Preferred Qualifications
  • Experience in building and driving adoption of new tools
  • Experience with technologies like Hadoop, Rules-based systems, and Machine learning