GAQ226R233
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is looking to hire a Revenue Assurance Manager. With a goal of organizational excellence in support of Databricks' rapid growth and strategic goals, the Revenue Assurance Manager will act as a subject matter expert while partnering with cross-functional teams to maximize revenue and ensure the accuracy of revenue reporting. You will be responsible for optimizing revenue-related contractual terms, providing guidance on contract structures pre-execution, and reviewing contracts post-execution to finalize and document revenue recognition treatment in a timely manner. You will participate in projects to help build a sustainable, SOX-compliant deal support function to fuel deal velocity. This role requires a highly energetic, collaborative, and cross-functional individual who has a strong understanding of ASC 606, and is a problem-solver and strategic thinker.
This position reports to the Sr. Manager, Revenue Assurance.
The impact you will have:
- Support the Sales organization by advising on complex accounting and finance compliance issues during contract/deal negotiations in order to ensure deals are structured in accordance with Databricks’ policy and US GAAP (ASC 606) to maximize revenue
- Review new and modified customer contracts to determine appropriate revenue recognition in accordance with ASC 606 and prepare revenue checklists and technical accounting memos
- Evaluate and apply revenue recognition principles in a complex usage-based revenue model that contemplates new product offerings, contract modifications, gross vs. net considerations, variable consideration, volume-based pricing, and other technical topics as needed
- Prepare monthly/quarterly deal metrics and other reporting as needed
- Support internal and external audit requirements for quarterly and annual audits
- Engage with Sales, Deal Desk, Strategic Deal Pricin,g and RevOps on strategic, complex, nonstandard transactions to accelerate deal velocity and provide trusted finance leadership to the deal process in support of accurate revenue recognition
- Identify opportunities for process optimization within the quote-to-revenue process, implementing best practices to enhance efficiency and accuracy while maintaining a SOX-compliant control environment
- Summarize findings to seek alignment between Commercialization, Legal, SalesOps, Revenue, and RevOps to drive consistency and best practices to build for scale
- Participate in and support user acceptance testing (UAT) and validation of revenue-related functionality in various automation projects
What we look for:
- Bachelor's degree with an emphasis in Business, Finance, or Accounting, CPA is a plus
- 5+ years of experience in public or corporate accounting, with at least 3 years focused on revenue recognition
- Strong understanding of revenue recognition principles and ASC 606
- Experience in working with Sales to assist with deal negotiations, providing guidance to ensure deal structures and commercial terms result in contracts that meet company policy and objectives
- Deal review and operational accounting experience in a growing SaaS technology business
- Experience with writing technical revenue memos
- Intermediate to advanced spreadsheet skills, including V-lookups and pivot tables required
- Excellent communication and presentation skills, with the ability to work with cross-functional teams and senior management
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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.
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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.
