# Strategic Finance Lead — Compute

**Company:** [Perplexity](https://hotfix.jobs/companies/perplexity)
**Location:** San Francisco, CA
**Role:** Finance & Accounting
**Salary:** $190k – $215k/yr
**Experience:** 4+ years
**Skills:** Financial Modeling, Budgeting, Forecasting, Variance Analysis, Gpu Infrastructure, Cloud Computing, Gpu Procurement, Vendor Contracts, Token Pricing, ROI Analysis, Capacity Planning, Machine Learning
**Posted:** 2026-09-01

> Leads strategic finance for a GPU compute fleet, modeling capacity, vendor economics, token-serving costs, and investment decisions. Requires at least four years of relevant finance or infrastructure experience and the ability to partner effectively with AI infrastructure engineering teams.

## Job Description

## Responsibilities
- Lead finance for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance.
- Build and maintain bottoms-up financial models for the GPU fleet, including capacity forecasts, cost-driver analyses, and investment scenarios.
- Analyze GPU vendor contracts, pricing structures, and cost drivers; identify fleet optimization opportunities.
- Own the compute capacity plan and source of truth for utilization, committed versus consumed spend, and capacity by vendor and cluster.
- Build token-cost curves distinguishing marginal from fully loaded serving costs and translate them into internal and external token pricing.
- Analyze ROI for in-house inference and training, including opportunity costs across chip types, cluster configurations, and workloads.
- Partner with inference and infrastructure engineering to translate serving and training workload dynamics into financial frameworks.

## Requirements
- 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Experience building complex financial operating models and synthesizing data into clear insights.
- Experience partnering with technical teams to drive financial optimization and operational outcomes.
- Background in AI, machine learning, or high-performance, large-scale computing infrastructure, including data centers or cloud service providers.
- Proficiency with financial modeling tools.

## Nice-to-haves
- Cloud or GPU infrastructure financial management experience with major cloud service providers or neoclouds.
- Experience with committed-use economics, including reserved capacity, savings plans, committed-use discounts, and GPU procurement.
- Expertise in GPU vendor economics, contract structures, and pricing models.
- Experience with chip architecture economics and optimization strategies.

## Compensation
- Annual salary: $190,000–$215,000.

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