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Spotify
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Machine Learning Engineering Manager - Music

SpotifyNew York, NY
RemoteData and AIsenior$184,049 - $262,928
Source checked 1 hour ago. · Posted 1 day ago.
Checked today

Role details

  • 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.
  • The United States base range for this position is $184,049 - 262,928 plus equity.
  • The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays.
  • This range encompasses multiple levels.
  • Leveling is determined during the interview process.
  • Placement in a level depends on relevant work history and interview performance.
  • These ranges may be modified in the future.
  • Spotify is an equal opportunity employer.
  • You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones.
  • Our platform is for everyone, and so is our workplace.
  • The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
  • So bring us your personal experience, your perspectives, and your background.
  • It's in our differences that we will find the power to keep revolutionizing the way the world listens.
  • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
  • We have ways to request reasonable accommodations during the interview process and help assist in what you need.
  • If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
Machine Learning Engineering Manager - Music at Spotify | JobMaxx