About the role
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. What if the systems you built changed how millions of developers work — not just at Spotify, but across the industry? The Platform Developer Experience (PDX) team builds the infrastructure and internal products that power how Spotify engineers ship software. Within PDX, the Wingspan team is building the next generation of fleet management and reimagining how we interact with AI agents — and bringing those capabilities to market through Portal, Spotify’s external developer platform built on Backstage. We are redesigning platform engineering around intelligent agents, large language models, and decision-aware automation. In this role, you’ll lead a team shaping how AI becomes a core operating layer of modern platform infrastructure, directly improving how developers ship and maintain software at scale. \n
What You'll Do • Lead and grow a team building AI-native backend systems that orchestrate large-scale, autonomous fleet changes • Define the technical vision for integrating LLM-powered reasoning and agent-based execution into production infrastructure • Architect systems where AI agents analyze service metadata, generate safe change plans, execute updates, and validate outcomes • Establish safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale • Drive responsible AI adoption by embedding governance, auditability, and human-in-the-loop safeguards into system design • Balance rapid experimentation with platform reliability, ensuring intelligent automation meets production-grade standards • Partner with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform • Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems
