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Databricks

Builds cloud software for data analysis and AI

Accounting Manager - Accounts Receivable

Financial AccountingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 6 years of progressive accounts receivable and general ledger accounting experience in a mid-to-large organization, including ownership of month-end close, allowance for doubtful accounts/current expected credit loss, subledger-to-general-ledger reconciliations, and accounts receivable management reporting.
  • A Bachelor's Degree in Accounting or Finance is required.
  • Strong U.S. generally accepted accounting principles judgment and the ability to independently research, document, and defend accounting conclusions related to receivables, revenue recognition alignment, accrual cut-off, contract assets and liabilities, and expected credit loss methodologies.
  • Ability to operate independently with high autonomy and produce clean, reviewer-ready workpapers within a preparer/reviewer/approver framework.
  • Hands-on enterprise resource planning experience with SAP, NetSuite, or a similar system, including querying, reconciling, and validating data across subledger and general ledger modules.
  • Comfort operating in ambiguous, fast-moving integration environments with evolving data, processes, and systems.
  • Advanced Excel proficiency, including Power Query and dynamic arrays, and hands-on experience deploying or evaluating artificial intelligence tools in a finance context.
  • High ownership, attention to detail, ability to work at a fast pace, direct communication, calm under pressure, open-mindedness, and adaptability to change.

Responsibilities

  • Autonomously lead the monthly close cycle for global accounts receivable balances, preparing end-to-end subledger-to-general-ledger reconciliations, roll-forward schedules, unbilled revenue, deferred revenue adjustments, contra-accounts receivable, complex close accruals, and accounts receivable management reporting with clear analysis of material movements and key drivers.
  • Own the allowance for doubtful accounts and current expected credit loss accounting models; assess assumptions and portfolio trends, prepare monthly provision recommendations, process approved write-offs with full audit trails, and ensure technical U.S. generally accepted accounting principles compliance.
  • Identify, design, and lead adoption of artificial intelligence and automation opportunities across accounts receivable accounting workflows, leveraging Databricks, large language models, and advanced analytics to automate manual reconciliations, improve accrual accuracy, strengthen controls, and accelerate period closes.
  • Maintain accounts receivable subledger integrity, flux analyses, variance explanations, and period-over-period movement schedules, providing management insights into accounts receivable trends, material movements, and key balance sheet drivers for senior Finance leadership.
  • Maintain audit-ready workpapers and process documentation; serve as the primary point of contact for internal and external auditors regarding accounts receivable schedules, walkthroughs, and audit request responses.
  • Partner with Billing Operations, Cash Applications, Revenue Assurance, Revenue Accounting, Corporate Accounting, and FP&A teams to validate subledger accuracy, clear unapplied balances, and reconcile accounts receivable balances.
  • Partner with Transformation, Engineering, and IT teams to redesign accounts receivable accounting workflows, eliminate manual routines, and drive process standardization, automation, testing, and data readiness for SAP and other systems implementations.

Desired Qualifications

  • CPA is strongly preferred.
  • Prior experience supporting the accounting workstream of an acquisition is a strong plus.
  • Familiarity with data platforms such as Databricks is a strong plus.
  • Experience in the high-growth technology or software-as-a-service industry is strongly preferred; exposure to recurring or usage-based billing models is an advantage.
  • A public accounting background is preferred.

About the Company

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Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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