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/ML 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
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 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 encouraged to explore emerging AI technologies while contributing to impactful projects that shape the future of software development. The flexibility to work from various locations across the EMEA region, combined with a commitment to inclusivity and diverse perspectives, makes Spotify a rewarding place for engineers looking to grow their careers in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - AI Fleet Management & Honk
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify or similar companies. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by diving deep into AI and backend systems. Brush up on your knowledge of Java, Python, and Node.js, and be ready to discuss how you've integrated AI/ML systems in past projects. Show us you’re not just a techie but a visionary!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After interviews, send a thank-you note expressing your enthusiasm for the role and highlighting a key point from your conversation. It keeps you fresh in their minds and shows your genuine interest.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to the exciting work we’re doing in AI and platform engineering.
We think you need these skills to ace Engineering Manager - AI Fleet Management & Honk
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 work you've done with AI/ML systems. We want to see how you can lead a team in building innovative solutions!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of how you've led teams or projects, especially in distributed systems or developer platforms. Let us know why you're excited about working with AI at Spotify!
Showcase Your Technical Expertise:In your application, don't shy away from discussing your technical skills, especially in Java, Python, or Node.js. We’re looking for someone who understands the intricacies of backend systems and can communicate effectively about AI-driven technologies. Make it clear how your expertise can contribute to our goals!
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 ensure it gets into the right hands. Plus, you’ll find all the details about the role and our team there!
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 diverse perspectives within your team.
✨Understand AI and Automation
Since this role involves AI-driven automation, be ready to discuss your understanding of autonomous systems and decision-making processes. Think about how you've designed safety measures and guardrails in past projects. This will demonstrate your capability to balance innovation with reliability.
✨Communicate Clearly and Confidently
Effective communication is key, especially when discussing complex topics like AI systems with various stakeholders. Practice explaining technical concepts in simple terms, as you’ll need to convey both opportunities and risks clearly. This will help you connect with interviewers from different backgrounds.
