International Infrastructure Accounting
Anthropic
International Infrastructure Accounting
Anthropic
Builds Claude AI models with a focus on safety
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.
Anthropic is seeking an International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. 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 international infrastructure portfolio is accounted for and understood across the business.
You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online.
Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis
Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals)
Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time
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
Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online
Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding
Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates
Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters
Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting
Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience
Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements
Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off
Have experience managing a significant lease or fixed asset 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 mentoring and developing 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 and time zones
Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency
Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts)
Experience with lease accounting software and / or fixed asset subledger systems at scale
Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits
Experience supporting a US-headquartered multinational from a regional or European finance hub
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.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
Annual Salary: 140000 - 170000 EUR
Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.
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