Join Perplexity as a Strategic Finance Lead to optimize GPU compute investments and drive capacity decisions in a fast-paced environment.
We 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.
- Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
- Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling
- Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet
- Serve 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 cluster
- Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing
- Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment
- Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks
- Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
- Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry
- Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data
- Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences
- A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions
- A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines
- Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers
- 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience
- Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds
- Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement
- Deep expertise in GPU vendor economics, contract structures, and pricing models
- Experience with chip architecture economics and optimization strategies
- Proficiency with financial modeling tools