Engineering Manager AI Fleet Management & Honk

remote-job.net Job summary: 💶 Salary: not specified ⏰ Weekly hours: Full-time 🔍 Recommended experience: Senior 🎓 Recommended education: not specified 🏭 Industry: SaaS 📋 Main tasks: Lead a team for AI-native backend and fleet management systems. Define and architect the integration of LLMs and agent-based execution into production systems. Build safety, evaluation, and observability mechanisms for AI automation. ✅ Main requirements: 3+ years of leadership experience managing engineering teams working on distributed systems or platforms. 5+ years of backend experience with Java, Python and/or Node.js. Experience integrating AI/ML/LLMs and designing security guardrails for autonomous systems. About the company The Platform team builds the technology that enables Spotify to learn quickly and scale effortlessly to support rapid user and business growth worldwide. We create the infrastructure, tools, frameworks, and capabilities needed to serve a billion customers. The Platform Developer Experience (PDX) team builds the infrastructure and internal products that control how Spotify engineers deliver software. Within PDX, the Wingspan team develops the next generation of fleet management, works on interactions with AI agents, and brings these capabilities to market via Portal, Spotify's external developer platform based on Backstage. Responsibilities Lead and grow a team developing AI-native backend systems to orchestrate large-scale, autonomous fleet changes. Define the technical vision for integrating LLM-based reasoning and agent-based execution into production infrastructure. Architect systems where AI agents analyze service metadata, create safe change plans, execute updates, and validate results. Build safety boundaries, evaluation frameworks, and observability models for AI-driven automation at scale. Promote responsible AI use through governance, auditability, and human-in-the-loop safeguards. Balance rapid experimentation and platform reliability to meet production standards. Work with product and go-to-market teams to position Portal and AI fleet management as a leading developer platform. Foster a team culture of curiosity, technical rigor, and continuous learning in emerging AI systems. Requirements At least 3 years of experience leading engineering teams working on distributed systems or developer platforms at scale. At least 5 years of backend engineering experience with strong expertise in Java, Python and/or Node.js. Experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tools into real systems. Understanding of how autonomous systems make decisions and how to design guardrails for safety, reliability, and traceability. Systems thinking about data flows, model behavior, orchestration layers, and operational impact. Comfort leading in evolving technical domains with immature patterns. Ability to create inclusive work environments and to communicate clearly with engineers, product owners, and leaders about the opportunities and risks of AI-driven systems. Benefits Flexible choice of work location within the EMEA region (except France due to on-call restrictions). Collaboration aligned with Central European and GMT time zones for better coordination. Opportunity to work on responsible AI integration and large-scale platform infrastructure. Influence on products with significant developer and industry impact; build and lead a growing team. A culture that encourages curiosity, technical learning, and inclusive collaboration.