Level

SpotifyPosted 2w ago

Principal Product Manager - Personalization

Principal Product Manager - Personalization at Spotify scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (London)seniorPermanent

AI in this role

Lead the Search Personalization product area at Spotify, owning end-to-end strategy for ranking, relevance, and AI-powered features like semantic search and LLM reranking.

llm
product-managementsearch-rankingsemantic-searchrecommendation-systems
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of 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.
Spotify Search handles billions of queries across every market, language, and content type — music, podcasts, audiobooks, videos, playlists, and more. We’re looking for a Principal Product Manager to lead the Search Personalization within our Conversation Product Area, setting the product strategy for how hundreds of millions of users find and discover content on Spotify. This is a leadership role at the intersection of search systems, AI, and user experience. You’ll own the end-to-end strategy for search results — from ranking and relevance to AI-powered features like semantic search, LLM reranking, and AI Overviews — while leading two key Search squads (results ranking and query suggestions). Search is the front door to Spotify; this role shapes what people find when they walk through it.

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Skills and AI tools this role asks for

Product ManagementSearch RankingSemantic SearchRecommendation SystemsLlm

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where search ranking was part of your work. What did you do?
  3. Tell me about a project where semantic search was part of your work. What did you do?
  4. Tell me about a project where recommendation systems was part of your work. What did you do?
  5. Walk me through how you've used Llm in your day-to-day work.

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  • List these exact terms on your resume: Product Management, Search Ranking, Semantic Search, Recommendation Systems, and Llm. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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