Payroll Tax Manager
Quick Summary
GAQ327R159 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
GAQ327R159
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
The Payroll Tax Manager will be our internal subject matter expert on all things payroll tax, advising payroll, equity, HR, and accounting teams on legislative changes, validating existing and new positions, developing global payroll tax policy, and generally helping the business better understand and report its payroll tax obligations. This role will also lead all payroll tax audits and inquiries from revenue authorities while advising the business on best practices and minimizing payroll tax risk. The Payroll Tax Manager’s role is to elevate all of its partners' operations and ensure the business and its employees (Bricksters) are reporting the right amount of tax in the right periods.
Payroll Tax Advisory
- Team with our global payroll team to review payroll tax calculations and document technical positions
- Identify opportunities for refunds or otherwise de-risk our global payroll tax positions.
- Assist in M&A integration to ensure pre and post close payroll tax positions are supported and optimized for the business.
- Team with our equity administration group to validate equity withholding and assist with other shareholder transaction planning
- Assist our payroll team with global payroll tax communications and responses to employee inquiries
- Assist other tax team members with payroll tax matters that impact our global direct and indirect tax matters, such as gross receipts taxes and business level employer taxes
- Partner with our equity administration team to ensure that equity tax reporting is accurately reflected in our payroll tax filings and collaborate to solve cross functional payroll tax matters.
Audit Readiness
- Lead global payroll tax audits (internal and external) by responding to information requests, communicating our positions, and remediating any identified exposures
- Assist with global payroll tax policy and implementation
- Assist the accounting team to help reconcile payroll tax accounts, investigate variances, and resolve discrepancies.
- Maintain comprehensive documentation to support compliance and audit requirements.
Leadership & Cross Functional Collaboration
- Collaborate with HR, Finance, Accounting, Equity Administration, Legal, and Benefits on cross functional initiatives including employee versus EOR decisions, and new entity creation.
- Participate in M&A due diligence and integration activities to ensure accurate tax setup and reporting
- Partner with our Finance Data Team and other stakeholders to re-imagine the payroll tax reporting process and identify opportunities to build on Databricks technology.
Required Qualifications
- Bachelor's degree in Accounting, Finance, Business, or related field.
- 5+ years of payroll tax experience
- Strong knowledge of US federal, state, and local payroll tax regulations.
- Knowledge of international payroll tax regulations
- Knowledge of equity compensation tax matters
- Experience with payroll systems and tax filing platforms (SAP, Netsuite, Workday preferred).
- Experience leveraging automation tools or AI at work
- Experience with payroll tax audits and negotiating with revenue authorities
- Excellent analytical, problem solving, and communication skills.
Preferred Qualifications
- Experience with Workday
- Experience with mobility tax issues (state to state or country to country)
- Experience in large, complex, multinational organizations
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
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.
Location & Eligibility
Listing Details
- Posted
- July 31, 2026
- First seen
- July 31, 2026
- Last seen
- July 31, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- July 31, 2026
Signal breakdown

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.
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