AfterQuery

AfterQuery

Strategic Finance

San Francisco · Contract

Sponsorship not specifiedDetected 92 days ago
Business DevelopmentFinancial ModelingFinancial AnalysisAccountingValuationVendor ManagementProcurementResearchOrganizational SkillsFinancial ReportingAccounts Payable

About the role

  • We're looking for someone with high agency who wants real ownership and impact from day one.
  • There is a set of unique financial challenges at AfterQuery:
  • Customer payment tracking and working capital: Navigating working capital dynamics and payment tracking across our AI lab customers (frontier AI labs, big tech cos, and neolabs)

Responsibilities

  • Develop, own and maintain the company's financial model, budget, and cash flow forecasts; produce investor-ready reporting and support financing preparation.
  • Design and manage financial systems and processes from scratch, across accounts payable/receivable, invoicing, and vendor payments.
  • Track and optimize our top expenses, streamlining the things that make our business complex: API and compute spend, contractor payments, and all internal expenses.
  • Manage customer (AI lab) payment tracking and reconciliation.

Requirements

  • 3+ years' experience in strategic finance or finance operations for software-led, AI, or other hyper-scaling businesses.
  • Experience with core operational workflows: vendor management, procurement, billing/invoicing, and contract administration.
  • Comfort with ambiguity and context-switching.
  • You can negotiate enterprise compute contracts on our behalf, redline with Legal departments, and explain internal expenses all in one afternoon.

Compensation

  • Total compensation package is competitive and commensurate with experience and candidacy.

Benefits

  • Bonus: Sales Finance / Business Development:

Company info

  • Navigating working capital dynamics and payment tracking across our AI lab customers (frontier AI labs, big tech cos, and neolabs)

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