Machine Learning Engineering Manager

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We seek a data-minded Engineering Manager with machine learning expertise to lead a squad within the Ads Performance Platform - Demand product area. The squad will own relevance modeling, iterating on our user ad embeddings and extending that to all ad types. This team will also help support probabilistic audiences (interests, contextual, demo) that can build off of our understanding of user ad preferences to help advertisers reach the most relevant audiences, and expand those audiences in a way that boosts advertiser performance and listener relevance. They will work closely with our ad formats and data platform teams to create new signals of listener preferences and expand Spotify’s ad targeting capabilities with performant audience segments.

We are looking for someone who is as motivated by user and business problems as they are by technical problems, and who enjoys ambiguity, brainstorming, experimentation, and iteration. You will work in close collaboration with key stakeholders across engineering, product, business, and leadership teams to build the most impactful solutions for our Spotify listeners and business.