We design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration.
Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world.
Responsibilities
Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain.
Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans.
Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most.
Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains.
Partner with product, design, research and other engineering leaders across Spotify to align priorities and share context.
Requirements
Deep machine learning expertise and Staff-level technical judgement, comfortable getting hands-on when it matters.
Experience across NLP, audio / music content understanding and recommender systems.
A track record of managing engineering teams while delivering complex, cross-functional initiatives.
Enjoy coaching senior and Staff engineers, and help experienced people grow their impact.
A clear, informed point of view on using AI to improve how ML engineers work, and can inspire a team to adopt it.
Think strategically, communicate clearly, and can balance long-term bets with near-term delivery.
Conditions
This role is based in London or Stockholm.
Flexibility to work where you work best; some in-person meetings, but allows for flexibility to work from home.