Director, Machine Learning Engineering - Surfaces Foundation

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.

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

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