Machine Learning Engineering Manager II

The Person alization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audio books, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. Our work spans across experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and new innovations like AI DJ and AI Playlists.

• Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
• Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad, and actively guide architectural vision and day-to-day ML modeling and coding decisions
• Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
• Champion AI-assisted coding practices, continually expanding the team's technical capabilities
• Foster strong research partnerships to scale innovative solutions from experimentation to production
• Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture

• You have experience leading delivery of consumer-facing ML products at scale
  
  You are energized by rapid change, ambiguity, and opportunity, with a proven track record transforming innovative ideas into impactful products
• You are excited but not overhyped by the potential of Generative AI and agent technologies
• You are comfortable providing detailed technical direction and resolving complex engineering challenges
• You thrive when developing great people and phenomenal, meaningful products
• You have experience in cultivating a strong engineering culture in an agile environment
• You have experience in people management, with the humility to realize where you're still growing

• We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a work location.
• The squad is based in New York City. This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $176,166- $251,666 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, paid sick leave. These ranges may be modified in the future.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.