At a Glance
- Tasks: Lead a team to build AI-driven backend systems for fleet management.
- Company: Join Spotify's innovative Platform team shaping the future of software development.
- Benefits: Flexible work location, competitive salary, and opportunities for continuous learning.
- Other info: Inclusive culture that values diverse perspectives and fosters curiosity.
- Why this job: Make a real impact on how millions of developers work with cutting-edge AI technology.
- Qualifications: 3+ years leading engineering teams and 5+ years in backend engineering with AI experience.
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.
- 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.
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: Dangote Industries Limited
Spotify is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Platform Developer Experience team. With a strong emphasis on continuous learning and technical rigor, employees are empowered to lead cutting-edge projects in AI and backend systems while enjoying flexible work arrangements across the EMEA region. The company prioritises employee growth through diverse perspectives and inclusive environments, making it an ideal place for those seeking meaningful and impactful careers in technology.
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 the industry, especially those at Spotify or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or side projects, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise in AI and backend systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. We all know how crucial it is to nail those questions, especially when it comes to distributed systems and AI integration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 Dangote Industries Limited
✨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 show your expertise.
✨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 Safety and Governance
Since this role involves AI-driven automation, be ready to discuss how you would establish safety boundaries and governance in AI systems. Think about past experiences where you’ve implemented guardrails for autonomous systems and be prepared to share your insights on responsible AI adoption.
✨Communicate Clearly and Confidently
You’ll need to communicate effectively with engineers, product leaders, and executives. Practice articulating complex technical concepts in a clear and concise manner. Prepare to discuss both the opportunities and risks associated with AI-driven systems, as this will demonstrate your understanding of the broader implications of your work.
