Machine Learning Engineering Manager - Music
Lead ML engineers building systems that shape Spotify music experiences
As Engineering Manager of the Oasis Squad, you'll lead a multidisciplinary team of machine learning, data, and backend engineers building ML systems at the heart of how Spotify shapes and delivers music experiences. You'll assess technical tradeoffs, steer the team toward decisions, and represent its technical direction with senior partners across Personalization, Product, and the music business. You'll coach engineers, create clarity amidst c...
Why This Role?
Direct access to senior partners across Personalization, Product, and the music business
Key Responsibilities
- Lead a multidisciplinary team of machine learning, data, and backend engineers
- Assess technical tradeoffs and steer the team toward key decisions
- Represent the team's technical direction with senior partners across Personalization, Product, and the music business
- Coach engineers and create clarity amidst constant change
- Enable a high-performing team to move quickly without adding unnecessary process
Requirements
- Significant technical machine learning depth
- Experience leading multidisciplinary engineering teams
- Ability to navigate complex technical strategy and shifting business needs
- Skill in giving experienced engineers meaningful autonomy while staying engaged in technical work
- Experience representing technical direction to senior cross-functional partners
Required Skills
View Original Description from Lever PostingsShow more
Original description from Lever Postings
As the Engineering Manager of the Oasis Squad, you’ll lead a multidisciplinary team of machine learning, data, and backend engineers building ML systems at the heart of how Spotify shapes and delivers music experiences. Oasis needs a people leader with significant technical machine learning depth who can help the team navigate complex technical strategy, shifting business needs, and high-impact cross-functional decisions. A great manager for this team will give experienced engineers meaningful autonomy while staying deeply engaged in their technical work. You’ll have the ML expertise to assess technical tradeoffs, steer the team toward decisions, and represent its technical direction with senior partners across Personalization, Product, and the music business. This is a role for someone who enjoys being close to both the people and the work: coaching engineers, creating clarity amidst constant change, and enabling a high-performing team to move quickly without adding unnecessary process. If this role excites you but you don't meet every requirement, we'd still love to hear from you. We welcome candidates from all backgrounds.
Salary Context
Similar AI roles on LokerDollar pay around $229.3k/yr (range $130k–402k/yr, n=37 active listings).
Hiring at Spotify
Spotify has 25 other active roles on LokerDollar and has been hiring here since May 7, 2026 — across AI, Product, Engineering.
View all Spotify openings →Market context
- ESTIMATEEstimated pay is 5% above the role median of $229,250/year (n=37 pay-disclosing listings).
- VERIFIEDSpotify: 34 postings in the last 3 months, 158 all-time on LokerDollar.
- VERIFIEDCompany first seen May 7, 2026.
- VERIFIEDThis listing first seen Oct 1, 2026.
- VERIFIEDLast verified live Oct 1, 2026.
Openness not stated by employer — check the listing
Frequently asked questions
- Is Machine Learning Engineering Manager - Music at Spotify a remote job?
- Yes, Machine Learning Engineering Manager - Music at Spotify is remote, but the employer did not state which countries can apply. Check the listing before applying.
- What type of employment is Machine Learning Engineering Manager - Music at Spotify?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Spotify.
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