GAQ326R211
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
This role will lead the GTM Finance team’s earned commission planning, forecasting, and reporting/analytics and comp plan design strategy for GTM. This includes partnering with Sales Compensation Strategy and Sales Strategy during annual planning and design, Accounting to facilitate the monthly accrual process, and GTM Finance business partner leads to deliver analytics around comp plan attainment. This is a highly impactful and strategic role, with a chance to strategically guide one of the most strategically important investment areas in go-to-market.
The impact you will have:
- Work in partnership with the Sales Compensation Strategy team on the annual comp plan design workstream to ensure the comp plan design is aligned to the desired business objectives
- Own the cost model for the annual comp plan design workstream. Partner with the Sales Compensation Strategy team to design quota guardrails, accelerator rates, and overassign quotas to align desired commission payouts and attainment to top-line performance
- Build and maintain the bottom-up commissions forecast, leveraging actuals and forecasted top-line performance to forecast variance to budget and provide insights to business partners on comp plan attainment relative to business performance
- Run the monthly commissions accrual process, providing accrual inputs to Accounting and communication of key variance drivers to Finance leadership
- Own ad hoc analysis, including making recommendations for mid-year investments and comp plan design modifications
What we look for:
- 7+ years of progressive GTM, GTM Finance, or related experience Finance experience at a high-growth enterprise SaaS or Consumption business, with specific ownership on forecasting for commissions expenses
- Expert at building robust financial models in both Excel and Gsheets
- Experience with sales compensation design & associated financial modeling
- Proficient with SQL to leverage top-line forecasts for bottoms-up model
- Advanced understanding of commissions-related accounting, including capitalization, amortization, and cash flow impacts
- Skilled storyteller to distill complex topics into executive-level presentations
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 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, please visit https://www.mybenefitsnow.com/databricks.
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.
Top Skills
Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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