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The Rundown AI, Inc.

Sr. Finance Manager

The Rundown AI, Inc., Mountain View, California, us, 94039

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Mission We are looking for a Sr. Finance Manager to join the Product Finance team in the FP&A organization as Databricks experiences growth at scale. You will report to a Sr. Director 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 and achieve their goals, grounded in financial reality and modeling and analysis. You will work independently, have deep experience in system and process improvements to achieve scale, and be comfortable distilling complex data into models and recommendations. You will partner directly with product, pricing, infrastructure and finance leaders in Databricks to plan for revenue, pricing and gross margin of the SQL product portfolio.

The Impact You Will Have

Partner directly with product, pricing, and infrastructure leaders in Databricks to plan for and improve key KPIs for the product.

Partner with Product Management and Sales Finance teams to understand the impact of pricing changes on the full P&L.

Improve gross margin for our products by understanding our products, our relationships with our cloud providers, pricing strategies, and how we operate.

Work and build relationships with partners across the R&D organization, finance and accounting teams to provide improved insights.

Improve financial processes and implement system improvements to support hyper‑growth at scale.

What We Look For

Bachelor's Degree in Business, Finance, Economics, Accounting or a comparable quantitative field.

MBA preferred but not required.

8+ years of FP&A experience in the high‑growth technology sector; familiarity with the software industry and SaaS business models.

Experience dealing with public cloud costs and analysis of unit costs and gross margin.

Financial modeling skills and quantitative analysis experience.

Expert in Excel and Google Sheets; can maintain complex spreadsheets and be comfortable with different modeling techniques and shortcuts.

Experience with analytics and reporting tools.

Understanding of GAAP accounting and non‑GAAP financial metrics.

Experience with SQL is a major plus.

Experience with systems such as Anaplan, Netsuite, Salesforce.com, Coupa and Workday.

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.

Zone 1 Pay Range: $189,900—$265,875 USD

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.

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