Strategic Finance Lead - Infrastructure

Perplexity Perplexity · AI Frontier · San Francisco, CA · Finance

This role focuses on financial leadership for AI infrastructure, specifically cloud service provider (CSP) spend, compute and model capacity planning, and infrastructure economics. The individual will partner with engineering and product teams to manage costs, build financial models for capacity investments, and support negotiations with CSPs. The role also involves managing inference costs, unit economics, and supporting training budgets.

What you'd actually do

  1. Build and maintain multi-year capacity forecasts and scenario models across CPU, GPU, and accelerator footprints
  2. Own day-to-day management for all core infrastructure spend, including the monthly bill, variance analysis, and forecasting
  3. Own management and forecasting of inference costs end-to-end, including product unit economics
  4. Partner with Strategic Finance leadership on long-horizon capacity decisions, including reserved/committed structures and build-out sequencing
  5. Support CSP rate and commit negotiations with rate analysis, benchmarking, and contract modeling

Skills

Required

  • Strategic finance or FP&A experience
  • Financial modeling
  • Partnering with engineering/technical teams
  • Communicating financial concepts
  • Process discipline
  • Business judgment
  • Cross-functional communication

Nice to have

  • Investment banking experience
  • Managing/modeling cloud infrastructure spend (AWS, GCP, Azure)
  • AI, ML, or HPC infrastructure economics
  • GPU pricing, reserved/committed structures, CSP discount mechanics
  • Supporting capital-intensive capacity decisions or multi-year vendor commitments
  • Advanced Excel and financial modeling skills

What the JD emphasized

  • core partner to our engineering, infrastructure, and product teams
  • financial rigor and judgment to the most consequential cost decisions
  • build the models that underpin our capacity investments
  • own the day-to-day CSP and model provider relationships
  • shape how we plan for infrastructure as the business scales
  • keep our compute and CSP strategy tightly aligned with the company’s financial trajectory
  • capacity Planning & Infrastructure FP&A
  • Cloud Service Provider (CSP) Financial Management
  • Inference Cost Allocation & Unit Economics Support
  • Translate engineering and product roadmaps into capacity requirements and the cost envelope to support them
  • Drive efficiency and optimization initiatives with engineering and infrastructure teams
  • Build cost-driver models that explain spend movements and surface the levers behind them
  • Maintain deep working knowledge of CSP contract terms, pricing structures, discount programs, and optimization opportunities
  • Partner with Accounting on contract operationalization, accrual accuracy, and compliance
  • Partner with Strategic Finance and executive leadership on scenario analysis to understand core unit economics and product-mix view and it’s impact on strategy and financial statements
  • Support training-run budgeting, tracking, and ROI analysis
  • 4+ years of experience in strategic finance or FP&A at a high-growth technology company, plus 2+ years in investment banking at a top-tier firm
  • Strong financial modeling skills and the ability to translate complex operating data into clear, decision-ready analysis
  • A track record of partnering effectively with engineering or technical teams to drive financial outcomes
  • Comfort communicating complex financial concepts to non-finance audiences across the company
  • Bias for action, first-principles thinking, and an ability to make progress in ambiguous environments
  • Excitement about working in a fast-paced, hyper-growth setting and adapting quickly as priorities shift
  • Strong process discipline, business judgment, and cross-functional communication skills
  • Genuine interest in AI infrastructure and the cost dynamics of large-scale model serving and training
  • Direct experience managing or modeling cloud infrastructure spend (AWS, GCP, Azure)
  • Background in AI, ML, or high-performance computing infrastructure economics
  • Familiarity with GPU pricing, reserved/committed structures, and CSP discount mechanics
  • Experience supporting capital-intensive capacity decisions or multi-year vendor commitments
  • Advanced Excel and financial modeling skills