Site Operations Capacity Analyst

Fluidstack

$90K — $130K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in capacity, utilization, or demand analysis for infrastructure, data centers, cloud, or heavy industry.
  • Proficient in SQL or Python for building essential models.
  • Ability to adapt analysis into concise, actionable reports for executives.
  • Strong problem-solving skills with a focus on data quality and source verification.
  • Bonus: Familiarity with data center capacity planning and power systems.

Responsibilities

  • Model capacity across various parameters such as power, space, cooling, and compute.
  • Monitor capacity consumption against plans and proactively flag constraints.
  • Develop reporting systems linking deployment schedules to sellable capacity for stakeholders.
  • Conduct scenario analysis for deal-making and allocation decisions to optimize resources.
  • Ensure supply chain performance facilitates accelerated build timelines, maintaining procurement off the critical path.

Benefits

  • Culture of extreme ownership with autonomy in role.
  • Fast-paced environment encouraging rapid decision-making.
  • Focus on first principles thinking—encouraging innovative solutions without ego.
  • Opportunity to work at the forefront of AI and supply chain optimization.
Full Job Description
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.
The Supply Chain Team

Examples of key problems the team is working on
  • Supply compute at a scale of 10s to 100s of GWs, the largest build out of compute in history. Qualify and dual-source across every critical equipment category, with lead-time and capacity thresholds tied directly to the forward build pipeline.
  • Make supply chain the reason we build faster than anyone. Our modular build redefines speed in this industry, and it lives or dies on supply chain. Keep procurement permanently off the critical path so schedule compression stays our advantage, not our constraint.
  • Build the most accurate supply chain prediction modelling that exists. Use the frontier of AI to forecast lead times, demand, and disruption with a precision the industry has never had, and turn that foresight into a structural edge.
Role Scope
  • Model capacity across the fleet: power, space, cooling, and compute, so allocation decisions run on numbers, not recollection.
  • Track capacity consumption against plan and flag constraints quarters before they bind.
  • Build the reporting that connects deployment schedules to sellable capacity for commercial and leadership.
  • Run scenario analysis for deal and allocation decisions: what fits where, by when, at what displacement.
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 done capacity, utilization, or demand analysis for infrastructure, data centers, cloud, or heavy industry.
  • You build models in SQL or Python that others rely on, and you version them like it matters.
  • You translate analysis into a one-page answer an executive can act on.
  • You chase down data quality problems to the source instead of footnoting them.
  • Bonus: Data center capacity planning. Power systems knowledge. BI tooling (Tableau, Looker, Hex). Cloud capacity or fleet economics.


We are committed to pay equity and transparency.

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