Billings and Collections Specialist

Responsibilities

• Own end-to-end billing across hardware, professional services, and compute services, ensuring accurate and timely invoicing.
• Perform month-end billing close activities by coordinating inputs from internal teams and validating period activity.
• Execute billing in NetSuite by translating contract terms and operational activity into accurate invoices and billing schedules.
• Manage billing adjustments including credits, credit memos, voids, and rebills with appropriate approvals and audit-ready support.
• Support collections by ensuring invoices meet customer requirements and resolving inquiries that may delay payment.
• Collaborate with Sales, Services, Finance, and Systems teams to resolve order-to-invoice issues and improve data quality.
• Maintain SOPs, close checklists, and KPI reporting while identifying process automation opportunities.

Requirements

• Bachelor’s degree in Accounting, Finance, Business, or a related field.
• 4–7 years of progressive billing or finance operations experience, including ownership of month-end billing close.
• Hands-on NetSuite experience.
• Advanced Microsoft Excel skills, including experience with large data sets, pivot tables, and complex formulas.
• Strong understanding of billing operations, including invoicing, credits, adjustments, and support documentation.
• Understanding of internal controls and maintaining audit-ready documentation.
• Strong communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience with NetSuite Advanced Revenue Management (ARM).
• Experience billing across multiple revenue streams, including hardware, professional services, and usage-based or consumption services.
• Experience improving billing processes through documentation, standardization, and automation.

About the Company

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, empowering machine learning users to effortlessly run large-scale ML applications. Our customers include top model labs, global enterprises, and cutting-edge AI-native startups.