Machine Learning Engineering Manager, Content Platform
Location: Hybird, New York, NY

Job Description:

Location: New York (Hybrid Flexibility) | Type: Permanent | Compensation: $156,432 - $195,540 + Equity

At Spotify, we don’t just stream music — we redefine how the world discovers and experiences it. Our Content Understanding teams harness the power of AI to craft cutting-edge solutions for exploring and enhancing the vast metadata behind our music catalog. Now, we’re seeking a Machine Learning Engineering Manager to guide and inspire our engineering talent as we continue pushing the boundaries of music intelligence.


What You'll Do:

  • Strategize & Lead: Collaborate with Product and Engineering leaders to shape the vision and execution strategy for Spotify’s Knowledge Graph and AI-driven content platform.
  • Innovate & Build: Drive machine learning initiatives that enhance the way users explore, search, and interact with music and metadata.
  • Cross-functional Collaboration: Partner with researchers, product managers, and subject matter experts to bring game-changing ideas to life.
  • Translate Complexity: Communicate sophisticated concepts and technical insights to both technical and non-technical stakeholders.

Who You Are:

  • ML Leadership Guru: You've led and grown high-performing machine learning teams, delivering impactful solutions.
  • Customer-First Mindset: You love delighting users even more than you love your code.
  • Product Lifecycle Expert: You excel in project planning, technical design, iterative implementation, and successful product launches.
  • Data-Driven Decision Maker: You champion reliability, responsible experimentation, and informed development.
  • Technical Visionary: You understand ML Operations from data acquisition to model deployment and performance optimization.
  • Collaborative Leader: You thrive in cross-disciplinary environments, mentoring teams, and fostering an inclusive, agile engineering culture.

Where You'll Be:

  • In New York (with Flexibility): Enjoy the best of both worlds with a hybrid setup. Join occasional in-person meetings while benefiting from remote work options.

Why Join Us?

  • Innovate at Scale: Shape the future of music metadata for millions of listeners.
  • Global Impact: Work on a product that spans the globe and touches diverse communities.
  • Competitive Benefits: Health insurance, 401(k), a six-month fully paid parental leave, meal allowance, and 23 paid days off + 13 flexible holidays.
  • Equity Opportunities: Share in our success and growth.
  • Personal Growth: Access extensive learning resources through GreenHouse and cultivate your skills with Spotify’s supportive community.

Ready to Amplify Your Career?

Join us in building smarter music experiences powered by machine learning. Apply today to inspire creativity, innovation, and connection at Spotify.


Key Skills:

  • Machine Learning Engineering Manager, Content Platform