The ad says“Strong understanding of billing, AR, reconciliation, and financial control concepts”
The ad says“Strong understanding of billing, AR, reconciliation, and financial control concepts”
The ad says“Strong understanding of billing, AR, reconciliation, and financial control concepts”
The ad says“Strong understanding of billing, AR, reconciliation, and financial control concepts”
Values
The ad says“Strong analytical skills and comfort working with large or complex billing datasets”
The ad says“Strong automation and process-improvement mindset”
The ad says“Experience with ERP, billing, payment, CRM, and data/reporting tools”
The ad says“SQL or similar data-analysis experience is a plus”
The ad says“Experience with ERP, billing, payment, CRM, and data/reporting tools”
The ad says“Strong automation and process-improvement mindset”
The ad says“Experience with SOX controls or operating in a controlled financial environment is preferred”
The ad says“SQL or similar data-analysis experience is a plus”
Fireworks AI is looking for a Billing Operations Analyst to own billing and receivables operations for usage-based customer business
AI infrastructure creates a uniquely data-intensive billing environment. This role will sit at the intersection of Finance Operations, Product, Engineering, Data, and Revenue Accounting to help ensure that customer usage flows completely and accurately through billing and ultimately into accounts receivable and cash
This is an ideal role for someone who combines strong billing fundamentals with systems thinking, data analysis, and a passion for automation
Own operational billing processes for usage-based customers
Manage customer billing setup and ensure billing configurations, payment requirements, and account information are complete and accurate
Monitor the usage-to-bill lifecycle and help ensure customer usage is captured, rated, and billed completely and accurately
Perform usage-to-billing reconciliations and investigate discrepancies between source usage data and customer invoices
Monitor billing exceptions, failed billing events, unusual transactions, and other anomalies
Partner with Product, Engineering, Data, and Finance Systems teams to investigate and resolve systemic billing issues
Manage receivables, aging, collections, unapplied cash, and customer account exceptions
Investigate customer billing disputes and drive issues through timely resolution
Support month-end close, including billing completeness, AR reconciliations, usage reconciliations, and aging validation
Execute SOX and O2C controls and maintain appropriate documentation, evidence, and segregation of duties
Develop exception-based monitoring and controls that allow billing operations to scale without proportional increases in manual effort
Identify automation opportunities across usage validation, billing, collections, reconciliation, and reporting
Define and monitor operational metrics, including billing completeness, billing accuracy, failed billing, exception rates, aging, DSO, disputes, and unapplied cash
What Success Looks Like
You help build a highly automated and scalable usage-to-cash engine for Fireworks AI. Usage is translated into accurate customer bills, exceptions are identified before they become material problems, receivables are actively managed, and Finance has confidence in the completeness and accuracy of PAYG billing as transaction volumes grow
Preferred experience
Strong understanding of billing, AR, reconciliation, and financial control concepts
Ability to communicate effectively across both Finance and technical teams
SQL or similar data-analysis experience is a plus
Strong automation and process-improvement mindset
3–6+ years of experience in Billing Operations, Order-to-Cash, Finance Operations, Accounts Receivable, or a related function
Strong analytical skills and comfort working with large or complex billing datasets
Experience with ERP, billing, payment, CRM, and data/reporting tools
Ability to investigate discrepancies across multiple systems and identify root causes
Experience with SOX controls or operating in a controlled financial environment is preferred
Experience with usage-based, consumption-based, SaaS, cloud, infrastructure, API, or other high-volume billing models is strongly preferred
