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职位Spotify

Senior Backend Engineer - Subscriptions

Spotify

Senior Backend Engineer - Subscriptions

Spotify

London

·

On-site

·

Full-time

·

1mo ago

The Subscriptions Mission builds and scales the products, platforms, and business models that convert free listeners into lifelong Premium subscribers. We focus on driving acquisition, optimizing conversion, improving retention, and delivering seamless commerce experiences that fuel Spotify’s growth and bring fans closer to the creators they love.

At Spotify, our Subscriptions data powers the decision engines and experiences behind our 700M+ Monthly Active Users and 290M+ Premium subscribers.

You’ll join the User Understanding team, where we build the backend systems and data foundations that power merchandising, conversion, and upsell journeys. Our work directly impacts subscriber growth and revenue, enabling smarter decision-making through heuristics, experimentation, and ML-powered capabilities.

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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

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0份报告

$142,458

年薪总额

基本工资

-

股票

-

奖金

-

$121,089

$163,827

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