Data Architecture, Data science techniques, Machine learning techniques, Product Management, UX design
Our mission in the Ad Performance Platform team is to build a next generation advertising platform that drives outcomes for hundreds of thousands of advertisers while creating a relevant ad experience for hundreds of millions of fans.
We are looking for a passionate and experienced Product Manager to help build and scale our ad systems at Spotify. In this role, you’ll own the roadmap for improving the Spotify Ad Server and developing new features to delight advertisers and users. This work is crucial to meeting our ambitious goals as an ad-supported platform and has a direct impact on revenue.
You’ll work with a diverse group of collaborators and stakeholders across R&D and business teams, including partner teams focused on booking, audiences, targeting and optimization, and measurement and reporting. Your work is critical to the success of ads at Spotify and one of the highest investment areas for Ads R&D, requiring frequent communication with leadership and the ability to navigate ambiguity and diverse stakeholder needs.
What You'll Do
Who You Are
Where You'll Be
The United States base range for this position is $112,298.00 - $160,425.00 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. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.
Spotify is a popular digital music streaming platform that was launched in 2008. It provides users with access to a vast library of music from various genres and artists around the world. Initially, Spotify started as a desktop application but has since expanded to include mobile and web-based versions as well. Key features of Spotify include: Music Catalog, Personalized Recommendations, Social Integration, Podcasts and Audio Content and Offline
London, UK
0-2 year