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GAQ327R240
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We're building a finance function that stays ahead of the curve — maximizing self-serve AI capabilities while driving an AI-first automation roadmap to operate at the pace Databricks demands. The Accounting Manager, Accounts Receivable, will serve as a senior individual contributor owning end-to-end technical AR accounting across global AR balances and multiple legal entities, leading multi-entity subledger consolidations as our global footprint expands. Working within a structured preparer/reviewer framework in close partnership with the broader Order-to-Cash (OTC), Revenue, and Finance Transformation teams, this high-ownership role bridges technical accounting rigor with cross-functional operational scale.
Close quality, accurate management reporting, and subledger integrity are non-negotiable. Success in this role requires both strong operational execution and sound technical accounting judgment - applying U.S. GAAP to complex global receivables matters, bad debt modeling, and close accruals to ensure an audit-ready subledger. You will own a high-quality close today while directly shaping how our global receivables accounting operates tomorrow, using an AI-first automation mindset to scale our processes alongside rapid company growth.
The impact you will have:
- Own the Global AR Month-End Close: Autonomously lead the monthly close cycle for Global AR balances, preparing end-to-end subledger-to-GL reconciliations, roll-forward schedules, unbilled revenue, deferred revenue adjustments, contra-AR, complex close accruals, and AR management reporting with clear analysis of material movements and key drivers.
- Technical Accounting & AFDA Modeling: Own the Allowance for Doubtful Accounts (AFDA) and Current Expected Credit Loss (CECL) accounting models; assess underlying assumptions and portfolio trends, prepare monthly provision recommendations, process approved write-offs with full audit trails, and ensure technical U.S. GAAP compliance
- Lead AI & Automation Adoption: Lead the identification, design, and adoption of AI and automation opportunities across AR accounting workflows, leveraging Databricks, LLMs, and advanced analytics to automate manual reconciliations, improve accrual accuracy, strengthen controls, and accelerate period closes.
- Maintain Balance Sheet Integrity: Own AR subledger integrity, flux analyses, variance explanations, and period-over-period movement schedules, providing clear management insights into AR trends, material movements, and key balance sheet drivers for senior Finance leadership.
- Drive Audit Readiness & SOX Controls: Maintain audit-ready workpapers and process documentation; serve as the primary point of contact for internal and external auditors regarding AR schedules, walkthroughs, and audit request responses.
- Cross-Functional Process Alignment: 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 AR balances.
- Finance Transformation & SAP Implementation: Partner with our Transformation, Engineering, and IT teams to redesign AR accounting workflows, eliminate manual routines, and drive process standardization, automation, testing, and data readiness for SAP and other systems implementations.
What we look for:
- Experience: 6+ years of progressive AR and GL accounting experience in a mid-to-large organization, with demonstrated ownership of month-end close, AFDA/CECL, subledger-to-GL reconciliations, and AR management reporting.
- Credentials: CPA strongly preferred. Bachelor's Degree in Accounting or Finance.
- Technical Accounting: Strong U.S. GAAP judgment and ability to independently research, document, and defend accounting conclusions relating to receivables, revenue recognition alignment, accrual cut-off, contract assets/liabilities, and expected credit loss methodologies.
- Autonomy & Review Readiness: Proven ability to operate independently with high autonomy, producing clean, reviewer-ready workpapers within a preparer/reviewer/approver framework.
- Systems & ERP: Hands-on ERP experience (SAP, NetSuite, or similar) with the ability to query, reconcile, and validate data across subledger and GL modules.
- M&A & Integration Experience: Prior experience supporting the accounting workstream of an acquisition is a strong plus. Comfort operating in ambiguous, fast-moving integration environments with evolving data, processes, and systems is essential.
- The Automation Mindset: Advanced Excel proficiency (Power Query, dynamic arrays) paired with hands-on experience deploying or evaluating AI tools in a finance context; familiarity with data platforms like Databricks is a strong plus.
- Ownership & Mindset: High ownership, detail-oriented, fast-moving, direct communicator, and calm under pressure. Open-minded and change-oriented.
- Scale & Agility: High-growth technology or SaaS industry experience strongly preferred; exposure to recurring or usage-based billing models is an advantage. Public accounting background preferred.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 6+ years of progressive accounts receivable and general ledger accounting experience in a mid-to-large organization
- CPA certification
- Bachelor’s degree in Accounting or Finance
- Experience owning month-end close, AFDA/CECL, subledger-to-GL reconciliations, and AR management reporting
- Strong U.S. GAAP judgment and ability to research, document, and defend technical accounting conclusions
- Ability to work independently and produce reviewer-ready workpapers within a preparer/reviewer/approver framework
- Hands-on ERP experience with SAP, NetSuite, or similar systems
- Ability to query, reconcile, and validate data across subledger and general ledger modules
- Advanced Excel proficiency, including Power Query and dynamic arrays
- Experience deploying or evaluating AI tools in a finance context
- Prior experience supporting the accounting workstream of an acquisition
- Familiarity with Databricks
- High-growth technology or SaaS industry experience
- Exposure to recurring or usage-based billing models
- Public accounting background
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
