Sr. Finance Manager

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
190K-266K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Sr. Finance Manager will partner with the R&D organization to provide financial analysis, improve processes, and assist in strategic planning related to product revenue and pricing in a high-growth environment.
Summary Generated by Built In

GAQ127R77

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations

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 are comfortable distilling complex data into models and recommendations. You will partner directly with product, pricing, infrastructure & 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, ora  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 Software-as-a-Services (SaaS) business models
  • Experience in dealing with public cloud costs and analysis of unit costs, gross margin
  • Financial modeling skills and quantitative analysis experience
  • Expert in Excel and Google Sheets; can maintain complex spreadsheets, 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.

Top Skills

Anaplan
Coupa
Excel
Google Sheets
NetSuite
Salesforce
SQL
Workday
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

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.

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