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- Tasks: Lead a team to build AI-driven backend systems for large-scale fleet management.
- Company: Join Spotify, a leader in music streaming and innovative technology.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment that values curiosity and continuous learning.
- Why this job: Shape the future of AI in platform engineering and impact millions of developers.
- Qualifications: Experience in leading engineering teams and backend development with AI integration.
The predicted salary is between 80000 - 100000 £ per year.
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. 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.
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.
Engineering Manager - AI Fleet Management & Honk in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - AI Fleet Management & Honk in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at Spotify or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving AI and backend systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by diving deep into the tech stack mentioned in the job description. Brush up on Java, Python, and Node.js, and be ready to discuss how you've integrated AI/ML systems in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Spotify.
We think you need these skills to ace Engineering Manager - AI Fleet Management & Honk in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Engineering Manager role. Highlight your experience in backend engineering and any leadership roles you've had, especially in distributed systems or developer platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of projects where you've integrated AI/ML systems or led teams in innovative ways.
Showcase Your Technical Skills: Don’t forget to mention your expertise in Java, Python, or Node.js. We want to see how you've applied these skills in real-world scenarios, especially in relation to autonomous systems and decision-making frameworks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Spotify
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, Python, and Node.js. Brush up on your knowledge of AI/ML systems and how they integrate into backend engineering. Being able to discuss specific projects or experiences where you've used these technologies will really impress the interviewers.
✨Showcase Your Leadership Skills
As an Engineering Manager, your ability to lead a team is crucial. Prepare examples of how you've successfully led engineering teams, particularly in distributed systems or developer platforms. Highlight your approach to fostering an inclusive environment and how you encourage continuous learning within your team.
✨Understand AI and Its Implications
Since this role involves AI-driven automation, be ready to discuss your understanding of autonomous systems and the safety measures that need to be in place. Think about how you would design guardrails for AI decision-making and be prepared to share your thoughts on responsible AI adoption.
✨Communicate Clearly and Confidently
Effective communication is key, especially when discussing complex technical concepts with non-technical stakeholders. Practice explaining your ideas clearly and concisely. Be ready to articulate both the opportunities and risks associated with AI-driven systems, as this will demonstrate your ability to bridge the gap between technical and product teams.