Finance & Strategy, Machines
San Francisco, United States · On-site
- Posted 1mo ago
- From Anthropic’s careers page
- Location
- San Francisco, United States
- Work mode
- On-site
- Experience
- 7+ years
- Department
- Finance and Accounting
Opens the listing on job-boards.greenhouse.io
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About the role
About the role
We are seeking a Machines FP&A lead to own financial planning for the chips and accelerators that run our models. You will own the hardware forecast and budget, keep leadership's view of machine spend current, and be the single finance point of contact for machines into Accounting and consolidated FP&A.
In this role, you will be a key partner to our capacity planning and hardware teams, and work day to day with the Compute deal team, Accounting, and the consolidated FP&A team.
Key responsibilities
- Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows
- Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved
- Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A
- Coordinate forecast inputs with Capacity Planning and the Compute deal team
- Track spend and cash-flow phasing against multi-year hardware commitments
- Partner with Accounting on the treatment of leases and related agreements
- Support chip and accelerator economics analyses led by the Machines finance team
- Build the reporting that keeps leadership's machine spend picture current
Minimum qualifications
- Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business
- Strong driver-based modeling skills and budget-vs-actual / variance discipline
- 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
- 7+ years in FP&A, strategic finance, or capacity/infrastructure finance
- Capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker
- Experience building forecast infrastructure for a new or fast-changing spend area
- Lease and long-term-agreement accounting fluency
- MBA, CFA, or equivalent
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About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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