Perplexity AI에서 인프라 전략 재무 리드를 채용합니다. 클라우드 및 GPU 비용 최적화와 용량 계획(Capacity Planning)을 총괄하며, 엔지니어링 팀과 협력하여 재무적 의사결정을 주도합니다. 전략 재무 및 FP&A 경력 4년 이상과 투자은행 경력 2년 이상이 필수입니다. AI 인프라 경제성에 대한 깊은 이해와 복잡한 모델링 역량을 갖춘 분을 찾습니다.
Perplexity is seeking a Strategic Finance - Infrastructure Lead to provide financial leadership over our cloud service provider (CSP) spend, compute and model capacity planning, and broader infrastructure economics. This person will be a core partner to our engineering, infrastructure, and product teams, bringing financial rigor and judgment to the most consequential cost decisions the company makes. You’ll build the models that underpin our capacity investments, own the day-to-day CSP and model provider relationships, and help shape how we plan for infrastructure as the business scales. The role partners closely with Accounting and Engineering leadership to keep our compute and CSP strategy tightly aligned with the company’s financial trajectory.
Build and maintain multi-year capacity forecasts and scenario models across CPU, GPU, and accelerator footprints
Partner with Strategic Finance leadership on long-horizon capacity decisions, including reserved/committed structures and build-out sequencing
Lead ROI and trade-off analysis for new platforms, hardware generations, and efficiency initiatives
Translate engineering and product roadmaps into capacity requirements and the cost envelope to support them
Own day-to-day management for all core infrastructure spend, including the monthly bill, variance analysis, and forecasting
Drive efficiency and optimization initiatives with engineering and infrastructure teams
Build cost-driver models that explain spend movements and surface the levers behind them
Support CSP rate and commit negotiations with rate analysis, benchmarking, and contract modeling
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
Own management and forecasting of inference costs end-to-end, including product unit economics
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
