Datacenter Forecasting Manager

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
176K-224K Annually
Senior level
Artificial Intelligence • Software
The Role
Own site-level capex/opex forecasting and cash timing per building; run the monthly forecast cycle with clear variance explanations; rapidly model scenarios for deals, delays, or design changes; automate data pipelines so forecasts update in hours; produce auditable models with cited sources and labeled assumptions.
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
  • Build and maintain the site-level forecasts: capex curves, opex ramps, and cash timing per building.

  • Own the monthly forecast cycle: inputs gathered, variances explained, and the bridge to the last version clean.

  • Model scenarios fast when a deal, delay, or design change moves the numbers.

  • Automate the pipeline from source systems so the forecast updates in hours, not weeks.

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 built capex and opex forecasts for large projects or infrastructure portfolios.

  • Your variance analysis finds causes, not just differences.

  • You're expert in Excel and dangerous in SQL.

  • You turn a vague what-if into a modeled answer same-day.

  • Your models are auditable: sources cited, assumptions labeled.

  • Bonus: Construction draw schedules. Pigment or Anaplan. Power cost modeling. Accounting fluency.

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

  • Built capex and opex forecasts for large projects or infrastructure portfolios
  • Expert-level Excel skills
  • Strong SQL skills
  • Automate forecasting pipeline from source systems
  • Fast scenario modeling and same-day what-if analysis
  • Variance analysis that identifies root causes
  • Create auditable models with cited sources and labeled assumptions
  • Construction draw schedules
  • Pigment or Anaplan experience
  • Power cost modeling
  • Accounting fluency
Am I A Good Fit?
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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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