Strategic Finance Lead, AI Compute & GPU Fleet

perplexity

United States

Remote

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Perplexity is seeking a Strategic Finance Lead to partner with inference and infrastructure teams, optimizing cost and capacity for a GPU compute fleet. You will own economics from token-level serving costs to long-range financial planning, translating complex infra dynamics into clear leadership narratives.

You will develop capacity forecasts, model cost drivers, and advise on make-versus-buy decisions, driving efficiency across vendor clusters.

Qualifications

  • Exceptional analytical skills with ability to synthesize data into complex financial models.
  • Experience building frameworks for utilization and capital efficiency in a fast-moving infra environment.
  • Strong collaboration with engineering teams and vendor counterparts to drive optimization.

Responsibilities

  • Finance lead for GPU compute spend, including budgeting, forecasting, variance analysis and plan maintenance.
  • Build bottoms-up models for the GPU fleet: capacity forecasts, cost drivers, investments.
  • Develop expertise in GPU contracts, pricing, cost drivers, and surface optimization opportunities.
  • Own capacity plan metrics: utilization, committed vs consumed spend, by vendor and cluster.
  • Create internal token-cost curves and translate into token pricing strategies.
  • Analyze ROI of in-house inference/training; compare chip types, clusters, workloads.

Skills

Analytical skills
Problem-solving
Attention to detail
Communication
Cross-functional collaboration
Financial modeling
Bias toward action

Tools

Excel

Job description

Perplexity is seeking a Strategic Finance Lead to partner with inference and infrastructure teams, optimizing cost and capacity for a GPU compute fleet. You will own economics from token-level serving costs to long-range financial planning, translating complex infra dynamics into clear leadership narratives.

You will develop capacity forecasts, model cost drivers, and advise on make-versus-buy decisions, driving efficiency across vendor clusters.

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