Spotify’s Surfaces Foundation team builds the systems that power how personalized recommendations show up for hundreds of millions of listeners. From targeting and configuration to serving and evaluation, this team sits at the intersection of machine learning infrastructure and product experience. You’ll lead a group shaping how AI-driven recommendations evolve across every Spotify surface, helping teams move faster while keeping a strong, shared foundation.
What You'll Do
Lead and support engineering managers and their teams building platform systems for personalized recommendations across Spotify
Set and evolve the technical vision for foundational capabilities, including targeting, serving, evaluation, and agent-driven systems
Make thoughtful decisions about what should become platform capabilities, ensuring teams can move quickly without unnecessary complexity
Guide incremental platform evolution, enabling continuous delivery rather than large, disruptive rewrites
Partner closely with product, data science, and engineering leaders to align priorities across multiple squads
Stay close to the technology when needed, contributing to architecture decisions and resolving complex production challenges
Encourage adoption of AI-assisted development tools and shape how teams use them effectively in day-to-day work
Hire, develop, and grow engineering leaders and individual contributors, building a strong and inclusive team culture
Who You Are
You have experience building and operating machine learning systems at scale in consumer-facing products
You have worked on recommendation systems, ranking, or content delivery platforms and understand end-to-end ML workflows
You bring strong platform thinking, with the ability to decide when to build shared capabilities and when to keep solutions closer to product teams
You are comfortable working with modern AI tools and understand how they influence software development practices
You have led teams through change, supporting adoption of new technologies or ways of working
You collaborate effectively across disciplines and help create alignment across teams with different priorities
You care about building inclusive, supportive team environments and invest in the growth of others
You are comfortable navigating ambiguity and making decisions that balance short-term needs with long-term impact
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location
This team operates within the Central European and GMT time zone for collaboration.
