Job Description

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.

The Content Understanding team works at the heart of the Content Platform R&D studio to develop rich and interconnected data and insights to enable delightful consumer experiences through a fusion of machine and human expertise. We power use cases across Spotify verticals - Music, Podcasts, and Audiobooks. We are seeking a product manager for a fast-paced team that is enabling a deep understanding of the Spotify catalogs through entity resolution at scale. The team’s goal is to model catalog data (entities and relationship between entities) and create data products for our internal Spotify customer teams to power Spotify’s user experiences like Now Playing View Credits, Audiobooks associations, and Cross promotion (e.g. linking podcast guests to audiobooks authors). We are solving these problems through innovative machine learning models, deep subject matter expertise, and close integration with human-in-the-loop processes in Spotify. 

The team is composed of machine learning engineers, data and backend engineers, and subject matter experts 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, researchers, 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.
• 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.

• Good grasp of the complete machine learning product lifecycle from goal setting to data collection/labeling to model development and deployment, to drive metrics-driven annotation processes. 
• 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.
• A great opportunity for engineers/data scientists looking to transition to a product management role.

• This role is based in New York City (USA).
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

$95.66 - $136.65 a year

The United States base range for this position is $95,658 - $136,654 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

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