Manager, Finance - Data Center Design

Crusoe
San Francisco, Sunnyvale, Bellevue
Workplace: OnsiteFull timeUSD 160,000 - 195,000Function: Finance & AccountingExperience: 7+ yearsEducation: bachelorsSkills: ["Cross-functional communication","Problem-solving","Opportunity-finding","Urgency","Quantitative analysis"]

Own optimization of data center designs for the constraints that matter most—space, power, and cost. Partner with Manufacturing, Engineering, Finance, Supply Chain, and Operations to translate commercial requirements into concrete design specifications, evaluate power and cooling strategies, and run design reviews to balance reliability and economics. Build and maintain cost models, develop repeatable standards and reference architectures, and assess new power, cooling, and rack technologies to improve density and deployment speed.

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FursaFursa
Crusoe
Crusoe
2 days ago

Manager, Finance - Data Center Design

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Job Summary

Own optimization of data center designs for the constraints that matter most—space, power, and cost. Partner with Manufacturing, Engineering, Finance, Supply Chain, and Operations to translate commercial requirements into concrete design specifications, evaluate power and cooling strategies, and run design reviews to balance reliability and economics. Build and maintain cost models, develop repeatable standards and reference architectures, and assess new power, cooling, and rack technologies to improve density and deployment speed.
Location: San Francisco, Sunnyvale, Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Finance & Accounting
Seniority: Manager level

Key Responsibilities

  • •Lead trade-off analysis across space, power density, and cost for new data center designs, increasing compute per rack and square foot while maintaining reliability.
  • •Translate commercial requirements (cost targets, delivery timelines, customer commitments) into concrete design specifications by partnering with Finance, Engineering, and Supply Chain.
  • •Evaluate power distribution and cooling architecture (air, liquid, immersion) to determine impacts on achievable rack density with electrical and mechanical engineering teams.
  • •Build and maintain models comparing design alternatives using total installed cost and cost per kW, per rack, and per square foot to support leadership decisions.
  • •Develop repeatable design standards and reference architectures across sites, and run cross-functional design review sessions to validate designs against technical and commercial targets before lock-in.

Pay and Benefits

Salary: USD 160,000 - 195,000
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeavePaid HolidaysHsaPaid ParentalLife InsuranceDisability401kVolunteer TimeCell PhoneCommuter Benefits

Key Requirements

  • •7+ years of experience in data center design, engineering, or infrastructure planning with exposure to power, cooling, and space optimization trade-offs.
  • •Strong understanding of data center electrical and mechanical systems (power distribution, UPS, cooling architectures such as air and liquid, and structural/floor loading).
  • •Experience partnering with commercial/business teams to translate cost and timeline constraints into engineering decisions.
  • •Ability to build and use cost models to compare design alternatives quantitatively.
  • •Bachelor’s degree in Mechanical, Electrical, or Structural Engineering, Architecture, or a related field (advanced degree a plus).
Experience:7+ yearsData centerInfrastructureAI/MLHPCGPU-dense infrastructure
Education:Bachelor's in Mechanical, Electrical, or Structural Engineering; Architecture; related field
Skills:Cross-functional communicationProblem-solvingOpportunity-findingUrgencyQuantitative analysis
Tech Stack:UPSPower distributionAir coolingLiquid coolingImmersion coolingPower & cooling strategyRack densityStructural/floor loading

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
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