Finance & Strategy Manager, Machines

Anthropic·San Francisco, CA·onsite
crypto:applicationopsM2Finance
Compensation
Not disclosed
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance leader to manage the “machines” finance function covering the chips and accelerators that run our models. In this role, you will be a key partner to our hardware infrastructure teams, providing financial expertise and guidance to drive hardware decisions. You will own the near and long-term forecasts for hardware, support deal teams, and our engineering teams on hardware ROI decisions. Key responsibliities Own the economics of chip and accelerator capacity: cost per chip-hour and TCO across chip generations Evaluate capacity offers and hardware commitments with the Compute deal team: pricing across chip types, counterparties, and structures Partner with Capacity Planning and Hardware Engineering on the financial analysis influencing machine strategy Own the hardware forecast: delivery volumes by chip over time, expenses, and cash flows Build and manage the Machines finance team; set the operating cadence with central FP&A and Accounting Serve as the accountable owner for machines FP&A into forecast and close cycles Coordinate with Accounting, Treasury, and Infra FP&A on accounting treatment and forecast inputs Minimum qualifications Owned hardware, semiconductor, or hyperscaler capacity economics Experience managing or mentoring finance talent Strong analytical skills and the judgment to turn an ambiguous structure into a clear financial recommendation Comfort partnering closely with engineering and commercial teams under deal-timeline pressure Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 8+ years in strate