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Description

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.

We are seeking a visionary Senior Technical Product Manager to join our team. This is an opportunity to define the future of music and podcasts as you build innovative experiences that are used by millions of Amazon Music customers. As Senior Product Manager for AI/ML products, you will focus on technologies that will help customers discover and engage with audio in new ways. You will harness the power of machine learning to help define and build new Amazon Music experiences that make it easier for customers to discover and fall in love with music and podcasts.

At Amazon Music, Product Managers are the CEO of the features they build and closely collaborate with Applied Science, Engineering, Project Management, Design, and more, to set strategy for, define, design, and directly manage all aspects of the customer experience. A successful candidate will be customer obsessed, highly analytical, have experience defining and delivering media/mobile/web products quickly and at scale, and be adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love.

You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for music and podcasts that power many of the key features in our apps.

Key job responsibilities

• Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs)

• Translate customer insights and business strategy into clearly defined product requirements

• Work closely with Applied Scientists, Engineering teams and Project Leads in an agile environment to develop and deliver innovative solutions

• Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture

• Manage prioritization and trade-offs to ensure delivery of a great customer experience

• Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively

• Interface and collaborate with teams across Amazon Music and partner organizations

• Operate with a high degree of autonomy and ambiguity

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, you will interact with internal customers on the US West Coast or cross-org attend team meetings. You will travel to our San Francisco/Seattle offices to meet partners roughly twice a year.

About the team

Our team works with cutting edge AI technologies to transform how customers discover and engage with music and podcasts. We are focused on building personalized and dynamic experiences that allow customers to use natural language to find the content they already love and discover new content they’ll love just as much. These experiences work seamlessly across our mobile apps, web player, voice-forward audio engagement products on mobile and Amazon Echo devices, in car integrations and more. Amazon Music is available in countries around the world, and our applications support our mission of delivering music and podcasts to customers in new and exciting ways that enhance their day-to-day lives.

Everyone on our team has a meaningful impact on product features, new directions in music and podcast listening, and customer engagement. Come join us as we make history by launching exciting new projects in the coming year.

Basic Qualifications

• Proven experience in technical product management

• Experience defining and delivering media, mobile or web products

• Experience with end to end product delivery

• Bachelor's Degree or equivalent work experience in a technical, computing or science field

• Experience owning roadmap strategy and definition

• Experience owning feature delivery and tradeoffs of a product

• Highly proficient in both spoken and written English (equivalent to Common European Framework of Reference C1)

Preferred Qualifications

• Experience contributing to science and engineering discussions around technology decisions and strategy related to a product

• Experience working with other product/tech teams who provide foundational capabilities for a product you own

• Proven ability to make smart features versus time-to-market trade-offs; experience using data and metrics to back up assumptions and assertions of business value

• Experience delivering products in a complex and fast-paced environment using agile process and experimentation

• Experience with Machine Learning products

• Experience with statistical modeling / machine learning

• Experience in using Python, R, Julia, or Matlab or other statistical/machine learning software

• Highly proficient in both spoken and written Estonian (Common European Framework of Reference C1)