Spotify aims to make deciding what to play next effortless and enjoyable for every listener by deeply understanding music, podcasts, audiobooks, and videos to deliver exceptional recommendations that keep hundreds of millions of people engaged every day. The ML Engineering Manager will provide technical leadership to a squad of engineers focusing on exciting new AI-driven experiences and shape the future of Spotify’s agentic reasoning and orchestration tech stack.
Requirements
- experience leading delivery of consumer-facing ML products at scale
- proven track record transforming innovative ideas into impactful products
- comfortable providing detailed technical direction and resolving complex engineering challenges
Responsibilities
- 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
Other
- Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture
- You are energized by rapid change, ambiguity, and opportunity
- You are excited but not overhyped by the potential of Generative AI and agent technologies
- 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
- For this role, you can be within the EST time zone as long as we have a work location.
