Senior Product Manager - Content Understanding

The Content Understanding team works at the heart of the Content Platform R&D studio to develop rich and interconnected data and insights to power delightful consumer experiences through a fusion of machine and human expertise. 

We are seeking a product manager for a fast-paced team that is enabling a deep understanding of the Spotify catalogs through entity resolution and enabling music attribution at scale. Music attribution at scale is one of the big unsolved technical problems of the music industry, and we’re building groundbreaking technology to solve it. Our goal is to solve this problem for the more than 60 million music tracks playable on Spotify, through innovative machine learning models, deep subject matter expertise, and close integration with human-in-the-loop processes across Spotify and the industry. Content Platform’s catalog data powers Spotify experiences from Artist pages in the app, Now Playing View, search and recommendations, human playlist curation, Spotify for Artists, and our music industry-facing strategy. 

The team is composed of machine learning engineers, data and backend engineers, and subject matter authorities who can drive product exploration and development initiatives to convert deep insights about our Spotify catalogs into engaging product offerings. 

• Drive the conceptualization and development of data and platform products 
• Collaborate with a team of skilled engineers, data scientists, and domain experts to set the product vision, strategy, and roadmap for your area.
• Lead product discovery to find opportunities across Spotify for your team to solve (in the music and eventually podcast space)
• Communicate complex concepts and experiments in a clear and effective manner to technical and non-technical audiences.
• Continually improve your products via an ongoing build-measure-learn cycle.
• Collaborate cross-functionally with other teams on product development and new initiatives.

• Experience building a technical platform or data products, or other products where the result is consumed by other teams to create experiences.
• Strong grasp of the complete machine learning product lifecycle from goal setting to data collection/labeling to model development and deployment, along with measurement & iteration.
• Lead data-driven product discovery to identify high-value opportunities for ML/data products and then prioritize what to build Now-Next-Later.
• Passionate about how products work “under the hood” and are comfortable discussing technical challenges with engineers.
• Self-starter who can collaborate with cross-functional partners in a dynamic environment and deliver results.
• Excellent verbal and written communication skills.

• We are a distributed workforce enabling our band members to find a work mode best for them!
• Where in the world? This role is in NYC where you can select office or home mix.
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.