Jobs
Mission Statement The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe.
Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team We are looking for a passionate Product Manager to join Spotify’s Data Platform Studio.
Data Platform’s mission is to enable the application of data in an intuitive and efficient way—helping Spotify extract value from data at scale.
Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, and analysts who build Spotify’s products.
With AI agents increasingly writing data pipelines and powering personalization, this is one of the most consequential infrastructure domains at Spotify.
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About Spotify

Spotify
PublicSpotify is a Swedish audio streaming and media service provider founded in April 2006 by Daniel Ek and Martin Lorentzon. As of December 2025, it was one of the largest providers of music streaming services, with over 751 million monthly active users comprising 290 million paying subscribers.
5,001-10,000
Employees
Stockholm
Headquarters
$23B
Valuation
Reviews
4.1
10 reviews
Work-life balance
3.8
Compensation
4.2
Culture
4.5
Career
4.0
Management
2.8
75%
Recommend to a friend
Pros
Flexible working hours and remote options
Great team culture and supportive colleagues
Creative freedom and innovative projects
Cons
High workload and stress during peak times
Fast-paced environment can be overwhelming
Management disorganization and direction issues
Salary Ranges
18 data points
Junior/L3
Senior/L5
Director
Junior/L3 · Associate Product Manager
0 reports
$141,200
total per year
Base
-
Stock
-
Bonus
-
$120,020
$162,380
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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