Spotify's Personalization team needs an ML Engineering Manager to shape the future of user experience control, leveraging large language models (LLMs) and agentic workflows to make music and podcast discovery easier and more enjoyable for millions of listeners.
Requirements
- You have previous experience developing production-scale, data-driven AI systems.
- Platform-level experience would be nice, too.
- You are excited but not overhyped by the potential of Generative AI
Responsibilities
- You will be accountable for the health of team of ML, Backend and Data Engineers, serving them through hiring, coaching, mentoring, and hands-on career development
- You will be accountable for team delivery, helping set goals that integrate both ambition and sustainability and proposing tradeoffs to optimize value delivered
- You will be accountable for the team’s technical strategy and architecture, working with the engineers in developing it.
- Similarly, you will be accountable for the health of the team’s systems.
- You will work with a product manager to ensure that the team is delivering products of value.
- You may give leadership to other efforts that fit your passion and Spotify’s needs in collaboration with other managers and engineers.
Other
- We prefer that our team members be physically located in Eastern Standard/Daylight time zones for the purpose of our collaboration hours.
- 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.
