Manager, Infrastructure Lease Accounting

Anthropic is seeking a Senior Manager, Infrastructure Lease Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic’s infrastructure lease portfolio - the leased assets underpinning our recently announced $50bn 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 lease portfolio is accounted for and understood across the business.

You will own end-to-end accounting for Anthropic’s infrastructure lease portfolio, 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, and help build the processes, controls, and systems that let this function scale., * Lead end-to-end accounting for one of Anthropic’s AI infrastructure lease portfolio, 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)
• 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 the quality of upstream data pipelines from operational and contract systems
• Design and scale systems, processes, and controls to support a rapidly growing lease portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

• Hold a Bachelor’s degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease 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
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency, * Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)
• Experience with lease accounting software at scale
• 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, 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.

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: $190,000-$230,000 USD, 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.

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., 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.