Finance & Strategy Manager, Machines

Anthropic; San Francisco (CA); Hybrid; USD 325,000 - 425,000; Full time

Job summary

Anthropic is seeking a Strategic Finance leader to manage the machines finance function for chips and accelerators running our models in San Francisco. You will partner with hardware infrastructure teams and own near- and long-term forecasts for hardware, supporting deal teams and engineering in ROI decisions.

You will build and lead the Machines finance team, set operating cadence with FP&A and Accounting, and coordinate with Treasury and Infra FP&A on forecasting inputs and accounting

Qualifications

• Owned hardware economics or capacity economics for semiconductors or hyperscalers.
• Experience mentoring finance talent and leading teams.
• Strong analytical skills with ability to turn ambiguous structures into clear recommendations.

Responsibilities

• Own the economics of chip and accelerator capacity, including cost per chip-hour and total cost of ownership across generations.
• Evaluate capacity offers with the Compute deal team: pricing across chip types, counterparties, and structures.
• Partner with Capacity Planning and Hardware Engineering on financially informed machine strategy.
• Own the hardware forecast: delivery volumes, expenses, and cash flows.

Skills

Strategic finance

FP&A leadership

Financial modeling

Cross-functional partnership

Analytical judgment

Education

Bachelor's degree

Job description

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 strategic finance, FP&A, or capacity/infrastructure finance
• Capacity planning or infrastructure finance experience at a hyperscaler or major chip maker
• Experience standing up a new finance function
• MBA, CFA, or equivalent

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $325,000 — $425,000 USD

Logistics

Minimum 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

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.