Billings and Collections Specialist

About the role

As a Senior Billing and Collections Analyst, you'll own the full order-to-invoice cycle, turning delivered hardware, professional services, and compute usage into accurate, timely invoices that support clean financial reporting and on-time customer payment. You'll serve as a key link between Sales, Services, and Finance by leading month-end billing close activities, translating contract terms into billing in NetSuite, and managing credits and adjustments with audit-ready documentation. You'll respond to billing inquiries, resolve order-to-invoice issues before they delay payment, and identify process improvements and automation opportunities. This is a high-impact role where your attention to detail, problem-solving, and cross-functional collaboration strengthen billing accuracy and help build a scalable foundation for growth.

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, validating period activity including compute usage, and resolving exceptions before invoicing.
• Execute billing in NetSuite by translating contract terms and operational activity into accurate invoices, billing schedules, and supporting documentation.
• Manage billing adjustments including credits, credit memos or notes, voids, and rebills with appropriate approvals, audit-ready support, and clear root-cause tracking.
• Support collections by ensuring invoices meet customer requirements including portal submissions, responding to billing inquiries, and resolving issues that delay payment.
• Work with Sales, Services, Finance, and Systems teams to resolve order-to-invoice issues and improve upstream data quality.
• Maintain SOPs, close checklists, reconciliations, and KPI tracking and reporting, and identify process and automation improvements to strengthen scalability and control.

Requirements

• Bachelor's degree in Accounting, Finance, Business, or related field (preferred)
• 4-7 years of progressive billing or finance operations experience, including ownership of month-end billing close (required)
• Hands-on NetSuite experience (required); experience with Advanced Revenue Management (ARM) (preferred)
• Advanced Microsoft Excel skills, including large data sets, pivot tables, and complex formulas (required)
• Strong attention to detail with proven ability to reconcile billing data, investigate variances, and drive issues to resolution (required)
• Strong understanding of billing operations, including invoicing, credits and adjustments, and invoice support documentation (required)
• Understanding of internal controls and maintaining audit-ready billing documentation (required)
• Experience billing across multiple revenue streams, including hardware, professional services, and usage-based or consumption services (preferred) Strong communication and cross-functional collaboration skills; ability to operate independently in a lean environment (required)
• Experience improving billing processes through documentation, standardization, and automation (preferred)
• Why Join Cerebras
• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non-corporate work culture that respects individual beliefs.
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Additional Information

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, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

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