Does this employer sponsor visas?
Source: US DOL Office of Foreign Labor Certification, LCA disclosure data, FY2026 Q2. Government data is published roughly one quarter in arrears.
This advert was matched to Finance & Strategy, a job title Anthropic, PBC has itself sponsored.
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The role, as Anthropic, PBC describes it
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 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
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: $240,000 — $325,000 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 ethi
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