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Salary: USD 240,000 - 325,000 / annual
Anthropic is seeking an FP&A Manager to own financial planning and forecasting for the hardware infrastructure (chips, accelerators, and compute systems) that powers their AI models. This is a specialized finance role focused on a critical cost center at a rapidly scaling AI company.
You will own end-to-end hardware forecasting including delivery volumes, lease and financing expenses, and cash flow projections. Key responsibilities include running monthly budget-vs-actuals analysis for machine spend, serving as the single finance point of contact between hardware teams and consolidated FP&A, and coordinating forecast inputs with Capacity Planning and the Compute deal team.
You will track spend and cash-flow phasing against multi-year hardware commitments and prepayments, partner with Accounting on lease accounting and long-term agreements, support chip and accelerator economics analyses, and build executive dashboards that keep leadership current on machine spend trends and drivers.
This role requires deep partnership with engineering, commercial, and capacity planning teams under deal-timeline pressure. You'll work day-to-day with the Compute deal team, Accounting, and consolidated FP&A to ensure accurate forecasting and reporting.
Minimum qualifications: 7+ years in FP&A or strategic finance with proven experience owning forecasts or budgets end-to-end at hardware, semiconductor, hyperscaler, or infrastructure-heavy businesses. Strong driver-based modeling skills, budget-vs-actual discipline, and comfort with complex financial structures. Preferred: capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker, experience building forecast infrastructure for new spend areas, lease accounting fluency, and MBA or CFA.
Anthropicis a mission-driven AI safety company building reliable, interpretable, and steerable AI systems. The role offers competitive compensation, hybrid work (minimum 25% in-office), visa sponsorship, and the opportunity to shape financial infrastructure at a leading AI company.
