Data Center Capacity Analyst

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 143,000 - 173,000 annuallyFunction: Business OperationsSkills: ["Extreme ownership","Velocity","First principles","Data modeling","Source of truth management","Trade-off analysis","Stakeholder communication"]

Model and track greyspace capacity across multiple data center sites, translating electrical/mechanical/support space budgets into usable capacity headroom. Build and maintain source-of-truth views that design, delivery, and operations use to determine fit as builds evolve. Analyze trade-offs when programs compete for square footage, and present constraints with options to keep deployments moving safely within real limits.

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FluidStack
FluidStack
1 month ago

Data Center Capacity Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Model and track greyspace capacity across multiple data center sites, translating electrical/mechanical/support space budgets into usable capacity headroom. Build and maintain source-of-truth views that design, delivery, and operations use to determine fit as builds evolve. Analyze trade-offs when programs compete for square footage, and present constraints with options to keep deployments moving safely within real limits.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations
Seniority: Mid level

Key Responsibilities

  • •Model greyspace capacity across sites, including electrical, mechanical, and support space budgets behind each megawatt of whitespace.
  • •Track allocation against design as builds evolve, identifying where greyspace runs out before power does.
  • •Build source-of-truth views used by design, delivery, and operations to answer whether capacity fits.
  • •Analyze trade-offs when programs compete for the same square footage or capacity headroom.

Pay and Benefits

Salary: USD 143,000 - 173,000 annually

Key Requirements

  • •Have experience with capacity or space planning for data centers, industrial plants, or utilities.
  • •Be comfortable working with drawings and single-lines as well as spreadsheets.
  • •Build capacity models that catch real constraints early.
  • •Keep a source of truth current across many concurrent changes.
  • •Present constraints with options attached.
Skills:Extreme ownershipVelocityFirst principlesData modelingSource of truth managementTrade-off analysisStakeholder communication
Tech Stack:SpreadsheetsDCIMSQLBI

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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