Lever ·
full-timeMachine Learning Engineering Manager - Music
Spotify · New York, NY
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.
| Role | Machine Learning Engineering Manager - Music |
|---|---|
| Company | Spotify |
| Location | New York, NY |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Machine Learning Engineering Manager - Music at Spotify: frequently asked questions
- What is the salary for this role?
- Spotify has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Machine Learning Engineering Manager - Music position remote, hybrid or onsite?
- The listing gives New York, NY as the location and does not state a work mode.
- What is the application deadline?
- Spotify has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Machine Learning Engineering Manager - Music role?
- Use the Apply button on this page. It opens the original listing on jobs.lever.co, where you submit your application with the company.
More at Spotify
Other jobs at Spotify
- Senior Software Engineer · Toronto
- Partner Manager - Lifestyle & Wellness · Los Angeles, CA
- Program Manager - Podcast Sales Strategy & Solutions · Los Angeles, CA
- Legal Counsel, Litigation And Copyright · New York, NY
- Senior Technical Program Manager · New York, NY
Explore Related Placements
// similar opportunities
You might also like
Engineering Manager - Music
Spotify
As the EM for Bonfire Squad you’ll lead a passionate full stack team of senior engineers building a high-impact artist promotion tool’s campaign management syst...
Machine Learning Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the intern...
Staff Machine Learning Engineer
Servicenow
No description available.
Machine Learning Engineer 4
Adobe
About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse,...
Machine Learning Engineer
Japan Dev
Machine Learning Engineer...
0-1 year experience eligible.
Engineering Manager
Intercom
Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Ag...