M&A and Accounting Policy Manager

Responsibilities

• Lead financial due diligence on target companies, including quality of earnings analysis, working capital assessments, and identification of accounting exposures and deal-relevant risks.
• Own end-to-end purchase accounting for completed acquisitions under ASC 805, including purchase price allocation, intangible asset recognition, goodwill calculation, and measurement period adjustments.
• Drive the accounting treatment for strategic investments under ASC 321, ASC 323, and ASC 810, including equity method and fair value option elections.
• Shape and evolve Coinbase's accounting policies through technical accounting memos on new and emerging products, bringing each analysis to closure in partnership with external auditors.
• Deliver original footnote disclosures, MD&A, and transaction-related disclosures for 10-Q and 10-K filings, and ensure related SOX controls are designed and operating effectively.
• Partner with Product, Legal, Tax, FP&A, Controllership, and Corporate Development to provide accounting expertise for new product launches, complex transactions, and post-close integration.

Requirements

• 9+ years of progressive accounting experience with a strong mix of Big 4 public accounting and industry experience.
• CPA required.
• Demonstrated breadth and depth of US GAAP knowledge, including M&A accounting (ASC 805), investment accounting (ASC 321, ASC 323), and consolidation (ASC 810).
• Proven experience leading financial due diligence, including quality of earnings analysis, working capital assessment, and identification of accounting risks across live deal processes.
• Track record of managing external consultants and advisors across M&A workstreams, including scoping engagements, reviewing deliverables, and holding advisors to quality and timeline standards.
• Proven ability to draft technical accounting memos and original financial statement disclosures that clearly communicate complex conclusions to cross-functional stakeholders.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.