Finance & Strategy, Machines (Manager)

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 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.

• 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

• 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 Anthropics mission to build safe transformative AI systems

• 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

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.