Revenue Accounting Manager, Ads

Responsibilities

• Own end-to-end accounting and controllership for Ads revenue, including revenue recognition, contra-revenue, rev-share, incentives, credits, rebates, and related close activities under ASC 606.
• Design and execute scalable month-end and quarter-end close processes for Ads, ensuring accurate, complete, and timely reporting supported by reconciliations, flux analysis, and reviewer-ready evidence.
• Design accounting and control frameworks for global Ads expansion, including new currencies, billing entities, tax/invoice localization, FX, AR, and GL mapping.
• Translate complex commercial, product, and contractual terms into operational accounting workflows with clear policy alignment and scalable execution.
• Partner with Product, Engineering, Finance Engineering, Data, and Billing teams to define, validate, and audit Ads measurement logic such as impressions, clicks, billable events, usage, rev-share, and invoice data.
• Identify material risks, separate systemic issues from immaterial noise, and communicate substantiated recommendations to Finance and business leaders.
• Use AI, data tooling, and automation to improve close speed, exception management, reconciliation quality, and control execution while preserving appropriate governance.
• Support system implementations and enhancements across Oracle Fusion, data warehouses, billing integrations, ads platforms, and related finance tooling.
• Lead audit support, documentation, walkthroughs, issue resolution, and remediation for Ads revenue accounting.

Requirements

• 6+ years of progressive accounting experience, including ads revenue accounting or controllership in a public company or high-growth late stage private company.
• CPA or equivalent expertise, with strong command of ASC 606 and practical judgment on variable consideration, principal-agent, incentives, credits, and revenue-share arrangements.
• Non-negotiable advertising business expertise: direct experience with ads, adtech, retail media, marketplace monetization, or a closely analogous high-volume usage-based revenue model.
• Proven ability to build 0-to-1 finance processes, then harden them into scalable close procedures, reconciliations, controls, and audit-ready evidence.
• Strong data fluency, including comfort validating high-volume calculations, tracing source-system data to billing and GL outputs, and partnering with data or engineering teams.
• Practical experience applying AI, analytics, or automation in a Finance org, with clear judgment about controls, review points, and limits of automation.
• Balanced materiality and risk judgment: able to quantify impact, identify root cause, assess control implications, and recommend proportionate action backed by evidence.
• Experience with Oracle Fusion ERP, revenue systems, billing platforms, or finance transformation work.
• Passion for technology, AI, and building financial infrastructure that lets new products scale responsibly.