Compute & Hardware Capacity Planner

Fluidstack

New York (NY)

On-site

USD 180,000 - 250,000

Full time

14 days+

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Job summary

Fluidstack is seeking a capacity and supply planning lead to model hardware capacity across sites and align demand with orders and inventory. You will maintain automated capacity views, reconcile discrepancies, and translate analytics into actionable procurement decisions.

The role emphasizes hands-on modeling in SQL/Excel, experience with hardware supply chains, and a data-driven approach to forecasting and optimization. We value autonomy and end-to-end ownership.

Qualifications

  • You've done capacity, demand, or supply planning for hardware-heavy operations.
  • You've built models in SQL or spreadsheets that survived contact with messy source data.
  • You reconcile relentlessly: your numbers tie out or you know exactly why not.
  • You translate an analysis into an action: order now, shift that, elevate this.
  • You automate refreshes rather than rebuilding by hand.
  • Bonus: Data center or hardware supply chains. ERP data. Python. Forecasting methods.

Responsibilities

  • Model IT and hardware capacity across the pipeline: what compute, network, and support gear each site needs and when.
  • Reconcile demand against orders, inventory, and lead times, and flag the gap before it hits a schedule.
  • Build the capacity views planning and procurement run on, refreshed automatically.
  • Chase discrepancies to ground: a miscounted rack now is a missed energization later.

Skills

Capacity planning
Demand planning
Supply planning
SQL
Excel
Python
Data reconciliation
Forecasting
ERP data
Data modeling

Tools

SQL
Excel
Python
ERP systems

Job description

Fluidstack is seeking a capacity and supply planning lead to model hardware capacity across sites and align demand with orders and inventory. You will maintain automated capacity views, reconcile discrepancies, and translate analytics into actionable procurement decisions.

The role emphasizes hands-on modeling in SQL/Excel, experience with hardware supply chains, and a data-driven approach to forecasting and optimization. We value autonomy and end-to-end ownership.

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