Finance & Strategy, Machines

Anthropics 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.

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 leaderships 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.

• 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 leaderships machine spend picture current

• 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 Anthropics mission to build safe transformative AI systems

• 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

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.