At a Glance
- Tasks: Lead a team to build and scale distributed data systems for AI research.
- Company: Join a leading AI research company with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those passionate about data infrastructure and AI advancements.
- Why this job: Combine technical expertise with leadership in a hands-on role.
- Qualifications: Experience in managing engineering teams and strong systems knowledge required.
The predicted salary is between 80000 - 100000 € per year.
A leading AI research company is hiring a senior engineering leader to own and scale its internal data platform infrastructure. You’ll lead a team building distributed systems that support large-scale model training and experimentation workloads. This is not a pure management role. We are specifically looking for experienced engineering managers who still enjoy being deeply technical and working closely with systems, architecture, and code.
Requirements
- Strong distributed systems and data infrastructure background
- Experience managing high-performing engineering teams
- Strong systems fundamentals (databases, networking, concurrency, algorithms)
- Experience operating large-scale production systems
- Hands-on technical capability alongside people leadership
Nice to Have
- ML infrastructure or model training platform experience
- Experience supporting research or experimentation environments
- Familiarity with high-throughput data pipelines
Data Platform Engineering Manager (Hands-On) employer: Fabrik Talent
Join a pioneering AI research company that values innovation and technical excellence, offering a dynamic remote work environment across the UK and Europe. With a strong emphasis on employee growth, you will have the opportunity to lead a talented team while remaining hands-on with cutting-edge data technologies. Our collaborative culture fosters creativity and encourages continuous learning, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineering Manager (Hands-On)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data platforms or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! When you get the chance to meet potential employers, whether at a networking event or an interview, be ready to discuss your hands-on experience with distributed systems and large-scale data management. Real-world examples will make you stand out.
✨Tip Number 3
Don’t forget to tailor your approach! Each company has its own vibe and needs. Research the company’s data platform and think about how your experience aligns with their goals. This shows you’re not just looking for any job, but the right fit.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, it gives us a chance to see your application in the best light possible!
We think you need these skills to ace Data Platform Engineering Manager (Hands-On)
Some tips for your application 🫡
Show Your Technical Side:Make sure to highlight your hands-on experience with distributed systems and data infrastructure. We want to see how you've tackled large-scale challenges, so don’t hold back on the details!
Leadership Experience Matters:Since we’re looking for someone who has directly managed engineers, share specific examples of how you’ve led high-performing teams. We love to hear about your approach to mentoring and developing talent.
Tailor Your Application:Take a moment to customise your application for this role. Use keywords from the job description to show us that you understand what we’re looking for and how you fit the bill.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Fabrik Talent
✨Show Your Technical Side
Make sure to brush up on your technical skills related to distributed systems and data infrastructure. Be ready to discuss specific projects where you’ve been hands-on, as this role requires a blend of management and technical expertise.
✨Highlight Your Leadership Experience
Prepare examples that showcase your experience in managing high-performing engineering teams. Talk about how you’ve motivated your team, resolved conflicts, and fostered a collaborative environment while still being involved in the technical aspects.
✨Know the Company’s Tech Stack
Research the technologies and tools used by the company. Familiarise yourself with their data platform and any relevant ML infrastructure. This will not only help you answer questions but also show your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think of examples where you’ve had to make tough decisions or innovate under pressure, especially in large-scale production environments.
