Requirements

You have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters.
You bring experience across NLP, audio / music content understanding and recommender systems.
You have a track record of managing engineering teams while delivering complex, cross-functional initiatives.
You enjoy coaching senior and Staff engineers, and you help experienced people grow their impact.
You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it.
You think strategically, communicate clearly, and can balance long-term bets with near-term delivery.

What You'll Be Doing

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 realize real productivity gains.
Partner with product, design, research and other engineering leaders across Spotify to align priorities and share context.

This role is based in London or Stockholm.
We offer the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.