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职位Spotify

Product Manager - Data Platform

Spotify

Product Manager - Data Platform

Spotify

London

·

On-site

·

Full-time

·

1d ago

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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关于Spotify

Spotify

Spotify

Public

Spotify 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

员工数

Stockholm

总部位置

$23B

企业估值

评价

4.1

10条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

4.5

职业发展

4.0

管理层

2.8

75%

推荐给朋友

优点

Flexible working hours and remote options

Great team culture and supportive colleagues

Creative freedom and innovative projects

缺点

High workload and stress during peak times

Fast-paced environment can be overwhelming

Management disorganization and direction issues

薪资范围

18个数据点

Junior/L3

Senior/L5

Director

Junior/L3 · Associate Product Manager

0份报告

$141,200

年薪总额

基本工资

-

股票

-

奖金

-

$120,020

$162,380

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit