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    <job>
      <externalid>b453c3f3-cd5</externalid>
      <Title>Senior Manager, Infrastructure Capex Accounting</Title>
      <Description><![CDATA[<p>About the role</p>
<p>Anthropic is seeking a Senior Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic&#39;s owned infrastructure assets , the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure.</p>
<p>As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic&#39;s research and commercial success.</p>
<p>This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic&#39;s growing fixed asset base is accounted for and understood across the business.</p>
<p>Responsibilities</p>
<ul>
<li>Lead end-to-end accounting for Anthropic&#39;s AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis</li>
</ul>
<ul>
<li>Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)</li>
</ul>
<ul>
<li>Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made</li>
</ul>
<ul>
<li>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</li>
</ul>
<ul>
<li>Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates</li>
</ul>
<ul>
<li>Design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio</li>
</ul>
<ul>
<li>Collaborate with and mentor accounting professionals across the Infrastructure Accounting team</li>
</ul>
<ul>
<li>Serve as a key point of contact with external auditors on fixed asset and capex accounting matters</li>
</ul>
<ul>
<li>Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting</li>
</ul>
<p>You may be a good fit if you</p>
<ul>
<li>Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies</li>
</ul>
<ul>
<li>Hold a Bachelor&#39;s degree in Accounting or Finance; CPA or equivalent preferred</li>
</ul>
<ul>
<li>Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets</li>
</ul>
<ul>
<li>Have experience managing a significant fixed asset portfolio in a high-growth environment</li>
</ul>
<ul>
<li>Demonstrate strong analytical abilities and comfort working with large, complex datasets</li>
</ul>
<ul>
<li>Have a track record of improving scalable financial processes in fast-moving environments</li>
</ul>
<ul>
<li>Have experience mentoring and developing accounting professionals</li>
</ul>
<ul>
<li>Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders</li>
</ul>
<ul>
<li>Communicate clearly and influence effectively across cross-functional partners</li>
</ul>
<ul>
<li>Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency</li>
</ul>
<p>Strong candidates may have</p>
<ul>
<li>Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts)</li>
</ul>
<ul>
<li>Experience with fixed asset subledger systems at scale</li>
</ul>
<ul>
<li>SQL proficiency for querying and analyzing large infrastructure and accounting datasets</li>
</ul>
<ul>
<li>Background in Big 4 accounting or advisory services combined with industry experience</li>
</ul>
<ul>
<li>Experience with complex data center buildouts or hybrid cloud / on-premise environments</li>
</ul>
<ul>
<li>Knowledge of AI/ML infrastructure and associated cost structures</li>
</ul>
<ul>
<li>Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation</li>
</ul>
<ul>
<li>Proven ability to navigate ambiguity and drive results in rapidly changing environments</li>
</ul>
<p>Annual compensation range for this role is $190,000-$230,000 USD.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$190,000-$230,000 USD</Salaryrange>
      <Skills>ASC 360, Technical accounting, Infrastructure accounting, Fixed asset management, Financial reporting, Process improvement, Automation, AI tooling, SQL, Data analysis, Hyperscaler experience, Fixed asset subledger systems, Big 4 accounting, Complex data center buildouts, AI/ML infrastructure, Cloud computing</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a company that creates reliable, interpretable, and steerable AI systems. It has a significant investment in American computing infrastructure.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5196230008</Applyto>
      <Location>San Francisco, CA | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
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