Strategic Finance Lead - Compute

About this role

About the RoleWe are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions.In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership.This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment.This position is based in San Francisco and requires in-person attendance 2-3 days per week.Key ResponsibilitiesFinance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenanceBuild and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modelingDevelop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleetServe as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and clusterBuild internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricingAnalyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deploymentPartner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworksYou May Be a Good Fit If You HaveExceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating modelsExtraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industryAttention to detail and patience for getting to the source of truth on complex and interconnected contract and usage dataComfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiencesA proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisionsA bias toward action, strong work ethic, and experience driving operational outcomes under tight timelinesBackground in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providersPreferred Qualifications4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experienceExperience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neocloudsDirect experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurementDeep expertise in GPU vendor economics, contract structures, and pricing modelsExperience with chip architecture economics and optimization strategiesProficiency with financial modeling tools