Director of Datacenter Forecasting

Posted 11 Days Ago
Be an Early Applicant
2 Locations
In-Office
251K-314K Annually
Senior level
Artificial Intelligence • Software
The Role
Lead financial forecasting for datacenter buildouts: own capex, opex, and cash forecasts; build driver-based models and forecasting engine; run scenario analysis for site sequencing and capital decisions; partner with delivery, development, and accounting; hire and lead a small high-output forecasting team.
Summary Generated by Built In
About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.


We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.

  • Velocity. We drive everything forward as fast as possible.

  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

Role Scope
  • Own the datacenter financial forecast: capex, opex, and cash across every site and scenario the company weighs.

  • Build the forecasting engine, drivers, models, and systems, that turns build plans into financial truth.

  • Run the scenario analysis leadership uses to sequence sites, deals, and capital raises.

  • Partner with delivery, development, and accounting so the forecast reflects the field, not the plan of record.

What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

  • You've led financial forecasting for capital-intensive infrastructure: data centers, energy, telecom, or real assets.

  • You've built driver-based capex models that boards made decisions on.

  • Your forecasts get scored against actuals, and the gap shrinks every quarter.

  • You go get the operational truth behind a number instead of accepting the submission.

  • You've built and led a small high-output team.

  • Bonus: Data center cost structures. Project finance interfaces. Pigment or Anaplan. Monte Carlo methods.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Skills Required

  • Led financial forecasting for capital-intensive infrastructure (data centers, energy, telecom, or real assets).
  • Built driver-based capex models used for board-level decisions.
  • Regularly score forecasts against actuals and reduce forecast variance quarterly.
  • Proactively validate numbers by obtaining operational truth from the field.
  • Built and led a small, high-output team.
  • Knowledge of data center cost structures.
  • Familiarity with project finance interfaces.
  • Experience with Pigment or Anaplan.
  • Experience applying Monte Carlo methods for scenario analysis.
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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