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5 d agofound 4 d ago
Machine Learning Engineering Manager - Music
What the posting is about
Lead a multidisciplinary team of ML, data, and backend engineers. Navigate complex technical strategy and shifting business needs. Balance autonomy and engagement in technical work. Collaborate with senior partners across departments.
Read out of the posting
LevelNot stated
Experience asked5+ years
EmploymentFull time
LocationNew York, NY
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-29
Found vialever, direct from their system
We saw it 1 day after it went up.
The posting, as the company wrote it
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.
Copied from Spotify’s own board, not rewritten. Original ↗
Also open at Spotify
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