Why This Job is Featured on The SaaS Jobs
This Engineering Manager role sits in a platform and developer experience context, a critical layer for any SaaS organisation that ships frequently and operates at scale. The remit touches internal developer products and infrastructure, with an explicit focus on bringing AI agents and LLM-informed automation into core platform operations, an area increasingly shaping how modern SaaS companies build and run software.
For a SaaS career, the value is in learning how platform capabilities become leverage: improving developer throughput, standardising safe change management, and making reliability repeatable across many services. Leading work on evaluation, observability, governance, and human-in-the-loop controls builds durable experience that translates across SaaS environments adopting AI-assisted operations, not just within a single product domain.
The role best fits an engineering leader who enjoys shaping technical direction while staying close to the realities of production systems. It will suit someone comfortable operating where patterns are still emerging, aligning multiple stakeholders around risk and safety, and balancing experimentation with operational responsibility. Candidates motivated by enabling other engineers, rather than owning a single feature area, are likely to find the scope aligned with their strengths.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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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
Who You Are • You have 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
• You have 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
• You have experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
• You understand how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
• You think in systems, considering data flows, model behavior, orchestration layers, and operational impact
• You are comfortable leading in emerging technical domains where patterns are still forming
• You create inclusive environments where diverse perspectives strengthen technical and product decisions
• You communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems
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 (excluding France due to on-call restrictions).
•This team operates within the Central European and GMT time zone for collaboration
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