Spotify jobs, judged for you, free

What they do

Spotify is an audio streaming subscription service. It launched in 2008 for music, then added podcasts, and in 2022 audiobooks. It offers over 100 million tracks, 7 million podcast titles, and 700,000 audiobooks. It has 777 million users, including 300 million subscribers, in 184 markets. Its mission is to deliver creativity to the world.

What they value

• One Team: break down silos, share context, and work toward shared goals.
• Human Judgment: make smart decisions, take thoughtful risks, and learn from mistakes.
• Make It Happen: act with urgency and deliver results.

Where they hire

Most Postings are in London, Stockholm, and New York. A few are in Los Angeles, Dubai, Toronto, and cities in Asia and Europe. Of 79 Postings, 35 are hybrid, 31 remote, and 13 on site. Hybrid roles have some in-person meetings, and some ask for 2 to 3 office days a week. No Posting mentions visa sponsorship.

Teams and roles

Engineering has the most Postings, 30 of 79. Data and analytics has 12.

• Engineering: Android, C++, fullstack (web and server), backend (server), data, security, and machine learning engineers, plus engineering managers. Teams include Experience, Platform, Personalization, and Subscriptions.
• Data and analytics: data scientists and research scientists in personalization and generative audio.
• Product: product managers for audiobooks, playback, personalization, and subscriptions.
• Markets and subscriber growth: strategy, business development, and partner managers and a music editor in local markets such as Taiwan, Mexico, and Indonesia.
• Also finance, content partnerships with artists and labels, advertising sales, legal, public affairs, and people.
• Some Postings are only for people Spotify met at the RecSys and CoLM conferences. They lead to machine learning internships and full-time roles.

What they look for

Senior engineering roles ask for 5+ years of building software in production, meaning in live use. They ask for experience with APIs (the ways programs talk to each other) and distributed systems (software that runs across many computers). Common languages and tools are Kotlin, C++, React, Java, and TypeScript. Many Postings ask engineers to use AI coding tools with good judgment. Data scientists need 4+ years, a degree in a number-heavy field, A/B testing (trying two versions to see which works better), and Python, SQL, and BigQuery. Product managers need 4+ years. Accounting roles ask for 4+ years, a bachelor's degree in accounting, and IFRS, the international accounting standards.