Site Operations Capacity Analyst

Fluidstack

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

Qualifications

  • 5+ years of experience in capacity, utilization, or demand analysis for infrastructure-related fields.
  • Proficient in building models using SQL or Python.
  • Ability to distill complex analysis into actionable one-page summaries for executives.
  • Strong skills in identifying and resolving data quality issues at the source.
  • Bonus skills: Experience in data center capacity planning and knowledge of power systems.

Responsibilities

  • Model and analyze capacity across the fleet including power, space, cooling, and compute.
  • Monitor and track capacity consumption against plans, identifying constraints early.
  • Develop reporting frameworks linking deployment schedules to marketable capacity.
  • Conduct scenario analyses for allocation and deal decisions regarding capacity utilization.
  • Support procurement decisions by ensuring supply chain is optimized for speed and efficiency.

Benefits

  • Autonomy and ownership over projects and tasks.
  • Fast-paced work environment emphasizing speed and efficiency.
  • Encouragement to challenge assumptions and innovate.
  • Opportunities to work on cutting-edge AI supply chain technologies.
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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