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Director, GTM On-Demand Capacity Planning

140 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Director, GTM On-Demand Capacity Planning (Capacity Planning): Build mathematical models and capacity allocation frameworks that balance long-lead and on-demand GPU deployments with volatile customer demand, with an accent on yield management, utilization and margin modeling, and SLA-protected allocation decisions. Focus on translating physical cluster availability into sellable inventory while solving complex risk and depreciation constraints under ambiguity.

Location: Houston, New York, San Francisco, or Seattle, United States

Base salary: $140,000–$250,000 USD per year, with potential bonus, equity, and/or commission eligibility.

Company

Nscale provides AI compute infrastructure involving large-scale GPU deployments and physical capacity management.

What you will do

  • Design and manage capacity allocation frameworks balancing volatile on-demand usage with long-term reserved customer commitments.
  • Partner with Engineering and Supply Chain to forecast cluster availability and convert physical deployment schedules into sellable inventory.
  • Build dynamic financial models tracking utilization across every megawatt and identify under-utilized compute pools.
  • Partner with Deal Strategy to move specific available capacity and improve utilization and margins.
  • Resolve allocation conflicts when customer demand exceeds physical supply using strategic value, margin, and data.
  • Model hardware depreciation cycles to optimize pricing, capacity allocation, and GPU cluster ROI.

Requirements

  • 7+ years of experience in capacity planning, supply chain finance, or cloud operations.
  • Experience in a hyperscaler, heavy-infrastructure technology company, or logistics-intensive enterprise.
  • Advanced data modeling skills and the ability to analyze large datasets covering power costs, hardware depreciation, and network utilization.
  • Strong independent problem-solving skills in ambiguous yield management situations.
  • Ability to challenge sales priorities when capacity is unavailable while maintaining collaborative relationships.
  • Deep understanding of the AI compute market and the effect of utilization rates on valuation and cash flow.

Culture & Benefits

  • Player-coach role with cross-functional collaboration across Engineering, Supply Chain, Sales, and Deal Strategy.
  • High-pressure environment focused on rigorous analysis, strategic prioritization, and solution-oriented collaboration.
  • Medical, dental, and vision benefits.
  • Flexible paid time off and parental leave.
  • Retirement plan participation.

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