Revenue Strategy & Operations Manager

Posted 10 Days Ago
Be an Early Applicant
3 Locations
Remote
104K-216K Annually
Senior level
Big Data • Software
The Role
The Revenue Strategy & Operations Manager will lead cross-functional collaboration to support revenue transformation, focusing on process improvements for new product launches while ensuring compliance with revenue recognition standards. They will act as an adviser to various teams, conducting research on accounting treatment and implementing new systems with minimal impact on existing processes.
Summary Generated by Built In

GAQ126R112

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 Strategy & Operations Manager reporting to the Sr. Manager, OTC Strategy & Operations. As a key contributor driving commercialization and revenue transformation at scale, you will be an effective cross-functional collaborator and work across various teams which include Revenue, Commercialization, Revenue Operations, Legal, Revenue Assurance, Product, and SEC Reporting. You will be a primary adviser on the revenue impacts of new product launches, with a passion for designing process improvements to support operational efficiencies and maintain timely and accurate revenue financial reporting. This role requires a highly energetic, collaborative, and cross-functional individual who is a problem solver and strategic thinker.

The impact you will have:

  • Work closely with Commercialization and Product teams to understand new products and their impacts on revenue recognition policy and SOX controls
  • Think creatively to achieve business goals for new product launches while meeting revenue recognition standards
  • Research ASC 606 and advise on proper accounting treatment for new product launches and go-to-market changes
  • Gather requirements, perform User Acceptance Testing, create enablement materials, and support the implementation of NPI projects and other revenue-impacting initiatives
  • Become a trusted adviser to Revenue, Revenue Assurance, and Revenue Operations teams to understand their risk areas, pain points, and systems to launch new products with minimal impact on existing processes
  • Design and implement improved processes that alleviate current state pain points and gaps
  • Summarize current process pain points and potential improvements and present to management
  • Help inform requirements, assess potential risks, and perform User Acceptance Testing for a new billing/rating system

What we look for:

  • Bachelor's degree in Business, Finance, Accounting, or related field
  • US GAAP and ASC 606 technical accounting experience with a focus on software and SaaS complexities 
  • 6+ years of accounting experience in revenue
  • Public accounting background
  • Proven track record of identifying and supporting process/operational improvements
  • Experience leading projects cross-functionally
  • Experience in a fast-paced environment with the ability to embrace and successfully drive/implement change
  • Process optimization focused; vision with the ability to apply practical solutions and navigate through ambiguity
  • Experience with SQL and data analysis 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 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.


Zone 1 Pay Range

$122,100$216,000 USD

Zone 2 Pay Range

$109,900$194,400 USD

Zone 3 Pay Range

$103,800$183,600 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

SQL
The Company
Seattle, WA
0 Employees
Hybrid Workplace
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.

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