GAQ426R228
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
We are looking for a Finance Manager - AI Products to join the Product Finance team in the FP&A organization as Databricks experiences growth at scale. You will report to a Senior Manager of Product Finance and will be a key finance partner to the R&D organization.
As a finance professional who has experienced hyper-growth, you will help the business to be successful by delivering insights through modeling and analysis grounded in financial reality. You will help improve our analysis, planning, and reporting of R&D spend, with a focus on AI products and rationalizing and managing related infrastructure spend across multiple public clouds. You will design and implement models to forecast, plan, and budget for multiple types of R&D expenses and will be responsible for implementing Anaplan solutions across the organization to support forecasting and reporting of key metrics.
The impact you will have:
- Strong financial stewardship of AI products at Databricks
- Develop KPI reporting for products and partner with Engineering, Product & Data Science teams to achieve product goals
- Develop driver-based Revenue models and improve short-term and long-term forecasts of a dynamic product area
- Develop Cost Attribution models to help inform drivers of current economics and improve forecasting
- Partner with pricing team to make pricing decisions both for existing and new products
- Partner with commercialization team on key partnerships that will have material impact on revenue and margins
- Work and build relationships with partners across the R&D organization, finance and accounting teams to deliver improved insights
What we look for:
- Bachelor's Degree in Business, Finance, Economics, Accounting or comparable quantitative field
- 4+ years of experience with financial modeling & data analytics
- Experience in FP&A and history of working with R&D teams on Revenue planning, Unit economics and cloud costs
- Excellent analytical skills; experience with SQL and BI reporting tools is required
- Expert in Excel and Google Sheets; can maintain complex spreadsheets, comfortable with different modeling techniques and shortcuts
- Understanding of GAAP accounting and non-GAAP financial metrics
- Experience with Anaplan is a plus
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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