The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of audiobooks, music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Kipp is the machine learning team within the PZN Strategic Programming (PSP) Product Area, responsible for powering all targeting of strategic and paid promotions across Spotify’s major surfaces—including Home, Browse, and Search. We build the ML infrastructure and models that determine which users should see which content—be it music, podcasts, audiobooks, or video—so that every intervention delivers value to listeners and impact for creators.
Kipp owns the entire ML stack for targeting, including real-time decisioning and campaign-level optimization. We work at the intersection of machine learning, backend engineering, and large-scale distributed systems—ensuring that Spotify’s strategic programming is personalized, scalable, and measurable.
We are now looking for a Machine Learning Engineering Manager to lead this impactful team. In this role, you’ll guide ML, backend and data engineers working on mission-critical systems that sit at the heart of Spotify’s content promotion strategy. You’ll shape how we evolve our targeting capabilities to support diverse content formats, deliver engaging experiences to users, and drive measurable outcomes for artists, publishers, and partners.
In this role, you will lead a team of Engineers all based in Europe, and will collaborate with a product manager and other partners to define and shape product roadmap and technical strategy. You will also be responsible for the individual growth and organizational health of your team.
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