Thanks

Senior Accountant

California, United States · Senior

Sponsorship not specifiedDetected 114 days ago

AccountingQuickBooksAR/VRCollaborationAccounts Payable

About the role

We power growth for the world's leading brands, delivering tens of millions of high-value "thanks" moments every month.
You'll work closely with our Fractional CFO, but operate independently day-to-day.
Ensure revenue is accurate, traceable, and complete.

Own revenue, billing, and reconciliation: Manage end-to-end billing across advertisers and partners - including invoicing, payouts, and reconciliation across affiliate platforms (e.g. Impact, Rakuten).
Run clean, reliable financial operations: Own accounts payable and expense management.
Build simple, effective processes that provide visibility and eliminate errors.
Support month-end close and reporting: Maintain clean, current books and support the monthly close.
Partner with the Fractional CFO to deliver clear, reliable reporting and investor-ready outputs.
Own US payroll and compliance hygiene: Manage payroll via Rippling and ensure core US tax and compliance obligations are handled correctly.
Improve systems and reduce manual work: Identify and implement improvements across the finance stack.
Reduce manual inputs, streamline workflows, and build processes that scale.
Own the financial engine behind our two-sided ads marketplace.
We're hiring a Senior Accountant to own the day-to-day financial operations of the business, with a particular focus on revenue, billing, and financial accuracy.

Work through ambiguity, resolve discrepancies, and keep things moving without waiting for perfect inputs.

At Thanks, we're building a customer-first monetization platform that delivers growth without compromise - for advertisers, publishers, and consumers.
You'll bring structure, reliability, and clarity to a critical part of the business.
Own a critical part of the business: Revenue, billing, and cash flow are core to how we operate.

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