Engineering Manager AI Fleet Management & Honk

About the Role

The PDX team at Spotify is committed to making the business work by creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The Wingspan team, where this role is based, is focused on building the next generation of fleet management and reimagining how we interact with AI agents. This team operates within the Central European and GMT time zone for collaboration, offering flexibility to work from anywhere within the EMEA region.

As an Engineering Manager at Spotify, you will be part of a team that is passionate about innovation and pushing the boundaries of what is possible with technology. You will have the opportunity to work with a talented group of engineers, product leaders, and executives to position Portal and AI fleet management as a leading developer platform.

What You Will 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
• Collaborate with cross-functional teams to ensure seamless integration of AI-driven systems
• Develop and maintain technical roadmaps and strategies for AI fleet management
• Stay up-to-date with industry trends and emerging technologies in AI and machine learning

What We Are Looking For

• 3+ years of experience leading engineering teams working on distributed systems or developer platforms at scale
• 5+ years of experience in backend engineering with strong expertise in Java, Python, and/or Node.js
• Experience integrating AI/ML systems, LLMs, agent frameworks, or AI-assisted tooling into real-world systems
• Understanding of how autonomous systems make decisions and how to design guardrails that ensure safety, reliability, and traceability
• Strong technical leadership skills, with the ability to create inclusive environments where diverse perspectives strengthen technical and product decisions
• Excellent communication skills, with the ability to communicate clearly across engineers, product leaders, and executives about both the opportunities and risks of AI-driven systems
• Experience with agile development methodologies and version control systems such as Git
• Strong problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions
• Experience with cloud-based infrastructure and containerization technologies such as Docker and Kubernetes

Nice to Have

• Experience with AI and machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of containerization technologies such as Docker and Kubernetes
• Experience with agile development methodologies and version control systems such as Git
• Familiarity with cloud-based infrastructure and platform-as-a-service (PaaS) offerings
• Experience with CI/CD pipelines and automated testing frameworks

Benefits and Perks

• Competitive salary and equity package
• Flexible working hours and remote work options
• Comprehensive health insurance and wellness programs
• Generous parental leave and family support policies
• Professional development opportunities and training programs
• Access to cutting-edge technologies and tools
• Collaborative and dynamic work environment
• Recognition and reward programs for outstanding performance
• Flexible vacation and paid time off policies
• Access to exclusive company events and networking opportunities

• Highlight your experience with AI and machine learning systems, and be prepared to provide specific examples of how you have integrated these technologies into real-world systems.
• Showcase your technical leadership skills, including your ability to create inclusive environments and communicate complex technical concepts to non-technical stakeholders.
• Emphasize your understanding of autonomous systems and how to design guardrails that ensure safety, reliability, and traceability.
• Be prepared to discuss your experience with agile development methodologies, version control systems, and cloud-based infrastructure.
• Research the company and be prepared to discuss how your skills and experience align with Spotify's mission and values.
• Practice your communication skills, including your ability to communicate complex technical concepts to non-technical stakeholders.
• Be prepared to provide specific examples of how you have driven responsible AI adoption and embedded governance, auditability, and human-in-the-loop safeguards into system design.