Anthropic
Finance & Strategy, Compute
$240K–$325K
San Francisco, CA +1 · Full-time · Posted Aug 13, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 7+ years in strategic finance or related fields and 3+ years specifically in cloud infrastructure financial management are listed as preferred qualifications. Minimum years required correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: a field relevant to the role as demonstrated through coursework, training, or professional experience. MBA or other advanced degree in finance, economics, or business preferred.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic says it will make every reasonable effort to obtain a visa and provides immigration counsel.
About the job
Leads financial planning and investment analysis for accelerator compute, translating technical infrastructure and research dynamics into financial models and capacity-planning decisions.
What you'll do
- Own budgeting, forecasting, variance analysis, and financial plans for cloud accelerator compute spend.
- Build financial models and analyze compute costs, contracts, investment scenarios, and training economics to identify optimization opportunities.
- Own the compute capacity plan and partner with engineering and research teams to develop financial frameworks for planning and deployment.
What they ask for
- Exceptional analytical and financial modeling skills, including developing complex financial operating models.
- Track record partnering with technical teams to drive financial optimization initiatives.
- Strong communication and cross-functional collaboration skills, including explaining complex financial information to non-finance audiences.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; a field relevant to the role.
Nice to have
- Experience with major cloud service providers (AWS, GCP, Azure), cloud economics, contracts, or pricing models.
- Proficiency with financial modeling tools and languages (SQL, Python, Excel); experience with chip architecture economics is also preferred.
Pay
$240,000 — $325,000 USD (base salary)
Tools
Pigment, AWS, GCP, Azure, SQL, Python, Excel
AI focus
Analyzes the economics of AI model training and research compute, including training runs, chip types, and data; the role also expresses interest in using AI tools to streamline finance workflows.
Model-written summary · the original posting is authoritative