XTN-300F237 | ACCOUNTS PAYABLE & PHP TEAM OPERATIONS SUPERVISOR

We are seeking an experienced and forward-thinking Accounts Payable & Team Operations Supervisor to lead our overseas AP operations and serve as a key coordination hub between our international and US-based finance teams.

This role is ideal for a detail-oriented finance professional who brings hands-on AP expertise, a passion for leveraging AI-driven process improvements, and the people skills to build team culture, manage schedules, and ensure smooth cross-functional communication.

The ideal candidate is fluent in English, available during US Pacific Standard Time business hours, and equally comfortable driving process improvements and fostering a connected, well-organized team environment Health Insurance/HMO Enjoy unlimited MadMax Coffee Diverse learning & growth opportunities Accessible Cloud HR platform (Sprout) Above standard leaves Accounts Payable Operations Oversee the end-to-end AP process, including invoice receipt, coding, approval workflows, and payment execution across multiple currencies and vendors Ensure timely and accurate processing of all payables in compliance with company policies and local regulatory requirements Manage vendor relationships, resolve escalated disputes, and maintain accurate vendor records Coordinate with the corporate finance team on month-end and year-end close activities, including accruals and reconciliations Own the annual 1099 filing process, including vendor classification, data validation, threshold monitoring, and timely submission in accordance with IRS requirements Experience with PO processes.

Process Improvement & AI Integration Identify inefficiencies in current AP workflows and champion automation solutions, including the use of Coupa for procurement-to-pay processes and Claude (Anthropic's AI assistant) for drafting communications, summarizing data, and accelerating routine analytical tasks Build and maintain AP reporting dashboards and operational trackers using Google Sheets, including formulas, pivot tables,