Sr. Manager, Revenue Operations

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3 Locations
In-Office or Remote
172K-264K Annually
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

GAQ126R89

Location: While we're ideally looking to hire locally to our San Francisco or Mountain View offices, we will consider candidates on the West Coast. 

At Databricks, we are seeking a dynamic and experienced Senior Manager of Revenue Operations to join our fast-paced, hyper-scale environment. Reporting to the Director of Order to Cash, the ideal candidate will be a strategic thinker with a hands-on approach, adept at managing complex sales and usage contract processes while ensuring accuracy and compliance. This individual will thrive in a collaborative atmosphere, building strong relationships across departments and guiding a talented team of revenue operations professionals. If you are passionate about driving operational excellence and implementing best practices to enhance efficiency, we invite you to be part of our innovative journey.

The impact you will have:

  • Manage system set up of all sales contracts within relevant business systems (usage, subscription, and amendment level) to ensure completeness and accuracy through monthly and quarterly close process
  • Work with billing and collections to improve sales contract processing to minimize billing errors and improve efficiency
  • Improve and implement best practices across the organization in relation to contract management, provisioning, and preparation for accurate customer usage reporting and billing
  • Manage OTC month-end close activities, including preparation and review of Usage Reconciliations under SOX compliance 
  • Lead and develop the revenue operations team by providing mentorship and fostering a culture of continuous learning, growth, and operational excellence
  • Work with your partners (Revenue Accounting, Deal Desk, IT, FP&A, and Engineering) to initiate and implement process improvements of the quote-to-cash process to increase operational efficiencies while maintaining the integrity and accuracy of the underlying accounting records
  • Build relationships with Deal Desk and Sales Leaders globally to support complex pricing and deal structures, and minimize deal rejection to support billing and revenue goals
  • Work with teams to automate provisioning and establish traceable and auditable evidence for provisioning/order fulfillment, monthly usage rating, and applicable reporting
  • Ensure appropriate internal controls are in place and operating effectively, and ensure maintenance of control documentation for revenue-related processes to ensure SOX compliance
  • Collaborate cross-functionally to establish policies and create standardized operating procedures to ensure the organization is well-positioned to scale with growth 
  • Leverage data-driven insights to proactively identify opportunities and create a strategic roadmap aimed at enhancing operational efficiency and excellence 
  • Create and publish metrics to capture, control, and report the Revenue Operations team's effectiveness
  • Provide audit support for control and substantive testing

What we look for:

  • Bachelor degree
  • 8+ years of experience in Order Management, Billing, or Finance Operations
  • 6+ years of management experience
  • A collaborative leader who excels in engaging with executives while also being hands-on in supporting their team and stakeholders in daily operations
  • Experience managing a high volume of transactions with nonstandard terms
  • Ability to adhere to deadlines in a fast-paced environment without losing sight of accuracy
  • Strong self-starter who operates with proactively, high attention to detail, and strong communication skills
  • Proficiency with Excel is required (Pivot tables, Vlookups, IF statements)
  • Experience in subscription, consumption, and professional services billings
  • Experience with NetSuite, SalesforceCPQ, Financial Force and Salesforce or any major ERP
  • Knowledge of SQL 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

$172,200$264,000 USD

Zone 2 Pay Range

$155,000$237,600 USD

Zone 3 Pay Range

$146,400$224,500 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.

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

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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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