Finance & Strategy Manager, Machines
Company websiteanthropic.com (Anthropic, opens in new tab)
Base salary $325K to $425K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
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 responsibilities
- 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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
Source: Anthropic on Greenhouse · View original posting (opens in new tab)
This listingFinance & Strategy Manager, Machines$325K to $425K
Staff Software Engineer, AI Reliability$325K to $485K
Corporate Development Integration Lead$325K to $425K
Corporate Finance & Strategy, Public Benefit & Global Affairs$325K to $425K
Data Engineer, Billing & Payments$320K to $405K
Staff+ Software Engineer, Payment Fraud$320K to $485K
Software Engineer, Education$320K to $405K
Chart as a table
| Role | Published base |
|---|---|
| Finance & Strategy Manager, Machines (this listing) | $325K - $425K |
| Staff Software Engineer, AI Reliability | $325K - $485K |
| Corporate Development Integration Lead | $325K - $425K |
| Corporate Finance & Strategy, Public Benefit & Global Affairs | $325K - $425K |
| Data Engineer, Billing & Payments | $320K - $405K |
| Staff+ Software Engineer, Payment Fraud | $320K - $485K |
| Software Engineer, Education | $320K - $405K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-08-13
Where this pay comes from
Location as the employer wrote it: San Francisco, CA
USD 325,000 – 425,000 · interval unstated · pay_input_range · Annual Salary: · base family (R345 A1)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
