Anthropic · San Francisco
Manufacturing & Operationsposted 2w ago
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.
Director, Infrastructure Supply Chain Accounting
Anthropic is seeking a Director, Infrastructure Supply Chain Accounting to lead accounting for the components and integrated systems flowing through Anthropic's compute stack — from chips and networking hardware through racks and data center buildouts — underpinning our $50B+ investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.
This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business.
You will own end-to-end accounting and set the strategy for scaling the supply chain accounting function, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360 — combined with cost accounting judgment on components that behave like inventory — and build the processes, controls, and systems that let this function scale.
Lead end-to-end accounting for the components flowing through Anthropic's compute stack — including cost accumulation, existence and obsolescence reserves, monthly close, reconciliations, roll-forwards, flux analysis, and transition to fixed asset status upon deployment
Apply technical accounting expertise under ASC 360 (capitalization, useful lives, impairment, disposals) and cost accounting, including standard vs. actual costing, variance analysis, bill-of-materials (BOM) cost accumulation, and landed cost
Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
Collaborate cross-functionally to improve upstream data pipelines and component tracking — from purchase order through ship, receipt, build, and deployment — including serial-number-level tracking and existence controls for high-value components
Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio
Lead and mentor a team of accounting professionals focused on your portfolio
Serve as a key point of contact with external auditors on fixed asset accounting matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting
Have 12+ years of progressive experience in accounting, with operational experience at technology, manufacturing, or infrastructure-heavy companies
Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
Possess strong technical accounting knowledge of ASC 360 (capitalization, useful lives, impairment, disposals), plus applied experience with cost accounting concepts — BOM-based costing, standard vs. actual, obsolescence and NRV analysis — in a supply chain context
Have experience managing a significant fixed asset or component / inventory portfolio in a high-growth environment
Demonstrate strong analytical abilities and comfort working with large, complex datasets
Have a track record of improving scalable financial processes in fast-moving environments
Have experience leading and developing teams of accounting professionals
Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
Communicate clearly and influence effectively across cross-functional partners
Have experience partnering with engineering, infrastructure, operations, and supply chain teams to improve financial reporting and cost transparency
Experience at semiconductor companies, hardware OEMs / ODMs, contract manufacturers, or hyperscalers with exposure to complex BOM-based assemblies and infrastructure asset structures
Experience with fixed asset subledger and component / inventory management systems at scale (e.g., NetSuite, Oracle, SAP)
SQL proficiency for querying and analyzing large infrastructure and accounting datasets
Background in Big 4 accounting or advisory services combined with industry experience
Experience with complex data center buildouts or hybrid cloud / on-premise environments
Knowledge of AI/ML infrastructure and associated cost structures
Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
Proven ability to navigate ambiguity and drive results in rapidly changing environments
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.
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.
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.
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.