Lyceum

Head of Operations (GPU Fleet)

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Your mission
Demand for sovereign European compute is not our constraint. Capacity is. As Head of Operations you own Lyceum's GPU fleet end to end: every GPU we own, lease or operate for partners, from the first conversation with a data center to the day a node goes live and every day it runs after that.
The job has two halves. Grow the fleet: turn new financing into live GPUs, fast. Run the fleet: keep everything we operate available, efficient and under contract. Your north star is GPUs under management. You report directly to the CEO and work closely with the CFO, CTO and engineering. Depending on experience, we hire this role at Head or VP level.

What You'll Do
Secure data center capacity across Europe: power, liquid cooling, space, connectivity and colocation leases

Own relationships with OEMs and suppliers for servers, networking and storage, and manage lead times so hardware arrives when we need it

Run every deployment as a programme, from logistics and installation to burn-in, acceptance and handover to engineering

Keep the financing side of deployments clean: schedules, drawdown milestones, asset records, insurance and lender reporting

Run the live fleet together with engineering: availability, incidents, RMAs, warranty, spares and remote hands

Own supply-side contracts, renewals and SLAs, and drive down cost per GPU-hour

Build the operations team and the operating rhythm that lets us scale deployments without scaling chaos

 
Your profile
What We're Looking For
A track record of bringing physical infrastructure online at scale, ideally data centers, GPU or HPC clusters, or comparable hardware-heavy environments

You have owned the whole picture, from capacity and suppliers to deployment and live operations, not one slice of it

Exceptional analytical and strategic thinking. You see the whole board, from site selection to unit economics

Enough technical depth to hold your own with engineers and vendors on power, cooling, networking and hardware

Strong programme management: you run complex projects with many parties against hard deadlines

Confidence negotiating and managing contracts with data centers, OEMs and suppliers

You have built and led teams from scratch and still go deep into the details yourself

Very high sense of urgency and ownership

You make good decisions fast with incomplete information and prefer momentum over perfection

Strong written and verbal communication in English, German is a plus. Willingness to travel across Europe

Why us?
Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities

Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world

Ownership: Shape how European AI companies access GPU compute

European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Operations Remote Collaboration Head Gpu Mid level

Likely questions

  1. Tell us about work you have done that is close to the Head of Operations (GPU Fleet) role.
  2. How would you approach your first 30 days at Lyceum?
  3. Which of Data Analysis, Operations and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Operations and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Head of Operations (GPU Fleet) role because I can bring practical experience in Data Analysis, Operations and Remote Collaboration, learn the team quickly, and contribute to the outcomes Lyceum needs from this hire.

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