PMs for Hire

PMs for Hire

Infrastructure Tax Lead

Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY

H1B sponsorship available$300k-$385kDetected 29 days ago
NLPNegotiationAccountingFP&ATaxLogisticsResearchLeadershipCommunicationTax ProvisionTransfer Pricing

About the role

  • Anthropic is making significant, sustained investment in compute infrastructure to support our AI safety mission.
  • We are looking for an Infrastructure Tax Lead to own tax end-to-end across that portfolio - sitting at the point of deal flow, embedded with the Infrastructure team, and coordinating across Legal, Technical Accounting, FP&A, International Tax, Transfer Pricing, Provision, and Incentives.

Responsibilities

  • Serve as the embedded tax partner to Infrastructure team on deal intake: gather facts on site specs, counterparty structure, commercial terms, and timing
  • Lead Incentives workstream on state and local incentives, sales and use exemptions, property tax incentives, and site selection tax input
  • Partner with Tax Transactions and Tax Planning teams on service vs lease characterization, entity structure, and own contract tax provisions;and treatment across a portfolio of non-standard structures
  • partner with Tax Planning, Tax Operations, and Infrastructure Accounting to ensure tax assumptions are reflected accurately in deal approval packages
  • Partner with transfer pricing on policy for the infrastructure footprint: intercompany compute pricing, benchmarking, and documentation that will withstand scrutiny as intercompany flows scale
  • Partner with the tax provision team on quarterly impact of new structures and deferred tax positions
  • Build and maintain infrastructure tax playbooks, issue-spotting checklists, and internal processes so the function scales with deal volume rather than linearly with headcount
  • Partner with the tax provision team on quarterly impact of new structures and deferred tax positions; ensure there are no surprises between deal close and quarter close

Requirements

  • Big 4 or law firm experience in a datacenter, or infrastructure tax practice
  • Years of experience required will correlate with the internal job level requirements for the position
  • You may be a good fit if you have
  • 12+ years of tax experience with significant exposure to datacenter, tax planning, including meaningful international range
  • JD or CPA required; LL.M. in Taxation or MST a plus

Compensation

  • $300,000 - $385,000 USD
  • 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
  • However, some roles may require more time in our offices.
  • Background in state and local incentives, economic development negotiation, or site selection tax - either as a dedicated practitioner or as a frequent collaborator
  • Experience with non-US datacenter tax regimes and cross-border infrastructure structures

Benefits

  • entity formation, operationalization with local teams, contemporaneous documentation, withholding on cross-border financing, permanent establishment risk, and debt-versus-equity characterization
  • Working fluency in cross-border withholding on intercompany and third-party financing, permanent establishment analysis, and debt-versus-equity characterization
  • Lead after-tax deal economics: bonus depreciation modeling on large-scale buildouts, NOL utilization, and scenario analysis
  • Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Visa & Work Authorization

  • 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 do sponsor visas!

This listing is sourced directly from PMs for Hire's careers page and normalized into a canonical job model.