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The Personalization team at Spotify makes deciding what to play next effortless and enjoyable for every listener. We aim to deeply understand music, podcasts, audiobooks, 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.
As an ML Engineering Manager, you will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences. In collaboration with a cross-functional and cross-team leadership group, you will help shape the future of Spotfiy’s agentic reasoning and orchestration tech stack. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.
What You'll Do
- 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
Who You Are
- You have experience leading delivery of consumer-facing ML products at scaleYou 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
Where You'll Be
- 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.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
