Senior Accounts Receivable Analyst

• Work with order management, revenue, and corporate finance teams to understand deal structures and ensure customer billing schedules and invoices are correctly created in SaaSOptics
• Work with customers and the Labelbox sales team to resolve billing and collections issues
• Review aged receivables weekly and provide feedback on past-due accounts
• Report weekly invoicing totals, aging totals, cash receipts, and invoice adjustments
• Process software subscriptions to generate bookings, billings, and revenue
• Implement the dunning process in QuickBooks Online
• Create and streamline billing and collections processes
• Prepare monthly, quarterly, annual, and ad hoc forecasting reports
• Assist with general financial management and analysis
• Assist the accounting team with month-end accruals and account reconciliations
• Report to the Senior Accounting Manager

• At least 4-5 years of accounts receivable experience (more preferred)
• General experience in expense accounting and categorization preferred
• Experience with end-to-end Accounts Receivable
• Intermediate knowledge of accounting practices
• Experience with ERP systems, particularly QuickBooks Online and SaaSOptics, preferred
• Software/SaaS billing experience
• Ability to work with sales teams and educate them on accounts receivable policies
• Proficiency in Microsoft Word and Excel, including pivot tables and lookups
• Strong organizational, teamwork, and time management skills
• Excellent attention to detail and commitment to quality
• Ability to maintain confidentiality, customer service, professionalism, and integrity
• Ability to multitask and respond to requests in a timely manner
• Strong interpersonal and verbal and written communication skills
• Comfort with deadlines and continued completion of them

• Expanded responsibilities and career growth tied to contributions
• Collaboration with industry leaders at the cutting edge of AI development
• Continuous learning and evolution
• Autonomy and clear ownership of responsibilities
• Career advancement opportunities tied to impact
• Fast-paced, high-intensity environment
• Opportunity to help build the foundation for transformative AI technology