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5 дней назад

Capacity Planning & Efficiency

200 000 - 240 000$
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

Текст:
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TL;DR
Capacity Planning & Efficiency (AI Infrastructure): Owning the integrated planning system that converts demand, supply, infrastructure constraints, and financial commitments into a committed plan across GPUs, compute, storage, networks, power, and data center space with an accent on long-range capacity planning, IBP/S&OP, and resource allocation. Focus on reconciling constrained and unconstrained demand, navigating supply bottlenecks, translating capacity plans into capex and opex forecasts, and driving executive decisions during re-planning.

Location: On-site in San Francisco, CA; Bellevue, WA; or Sunnyvale, CA, United States

Compensation: $200,000–$240,000+ bonus, plus Restricted Stock Units

Company

hirify.global builds vertically integrated AI infrastructure spanning energy, data center construction, hardware, and cloud services.

What you will do

  • Own multi-year capacity planning across GPUs, accelerated AI fabrics, compute, storage, networks, power, and data center space.
  • Run the integrated business planning and S&OP cycle, including demand review, supply review, reconciliation, and executive decision forums.
  • Model constraints such as silicon allocation, supplier lead times, power energization, rack and network availability, and deployment labor.
  • Define allocation and prioritization rules when capacity is limited and drive mitigation decisions.
  • Coordinate the planning calendar and plan of record across Cloud Engineering, Supply Chain, Data Center Operations, Product, and Finance.
  • Translate capacity plans into supplier commitments, capex and opex forecasts, unit economics, depreciation schedules, and utilization targets.

Requirements

  • 8+ years of experience in infrastructure capacity planning, IBP/S&OP, supply and demand planning, systems engineering, or technical program management.
  • Technical fluency across compute, storage, networking, accelerated computing, power, space, and cooling constraints.
  • Experience with supplier lead times, allocation, buffer strategy, purchase orders, and hardware delivery.
  • Strong capex and opex planning, financial modeling, and variance analysis skills.
  • Expert-level Excel or Google Sheets skills and the ability to build auditable, maintainable models.
  • Bachelor’s or master’s degree in a relevant technical, operations, supply chain, mathematics, or data science field.

Nice to have

  • Experience establishing an S&OP or integrated business planning function from scratch.
  • Experience defining planning, provisioning, or capacity modeling software requirements.
  • SQL, Python, optimization, or simulation experience for constrained allocation problems.
  • Experience planning GPU clusters and accelerated AI computing fabrics at scale.

Culture & Benefits

  • Health, dental, and vision insurance with employer HSA contributions.
  • Paid time off, holidays, parental leave, and leave of absence programs.
  • 401(k) plan with company matching up to 4% of salary.
  • Professional development, tuition reimbursement, and mental health support.
  • Life insurance, disability coverage, commuter benefits, meals allowance, and location-specific programs.
  • Competitive compensation, bonus, equity, and Restricted Stock Units.

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