Databricks Logo

Databricks

Sr. Manager, Order to Revenue Process Compliance

Posted 7 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
160K-219K Annually
Senior level
In-Office or Remote
2 Locations
160K-219K Annually
Senior level
Leads Order to Revenue process compliance for a usage-based revenue engine. Oversees usage remediation, root-cause analyses, partner reporting, metrics, financial reserves, revenue recognition adjustments, SOPs, and cross-functional collaboration with Engineering and business teams. Ensures operational execution aligns with compliance requirements and partnership terms while improving financial accuracy and resolving recurring issues.
The summary above was generated by AI

GAQ427R211

Databricks is seeking an operational leader to serve as Senior Manager, Order to Revenue Process Compliance. As Databricks continues to scale, protecting our usage-based revenue engine requires dedicated oversight at the intersection of product metering, billing systems, and strategic partner relationships. In this role, you will lead the core execution of usage remediation, partner reporting workstreams, and root cause analysis—bridging the gap between raw product metering data and financial ground truth.

Primary Responsibilities

  • Remediation & Root Cause Analysis (RCA): Execute the categorization and resolution of various SLA and usage issues impacting customers and financial accuracy, lead mandatory cross-functional RCAs with Engineering to address finance-impacting issues, ensuring policy and execution align to compliance guardrails at scale.  
  • Metrics, Reporting & Financial Reserves: Maintain necessary metrics, reporting, and data assets to inform leadership decision-making, influence project prioritization to resolve recurring issues, and inform financial reserves or adjustments to revenue recognition processes.
  • Partnership Governance & Outbound Reporting: Catalog and maintain a deep understanding of key partnership terms, create and preserve standard operating procedures (SOPs), oversee the execution of outbound reporting workstreams by staff, and sign off to own operational outcome results.
  • Cross-Functional Collaboration: Partner closely with Engineering and business stakeholders to turn usage insights into operational improvements and ensure compliance with partnership arrangements.

Minimum Qualifications

  • Education: Bachelor’s degree in Accounting, Finance, Business, or a related technical field.
  • Professional Experience: 10+ years of relevant experience, with extensive expertise in business partnering, influencing cross-functional stakeholders, and consumption-based revenue recognition/accounting.
  • Technical Acumen: Experience writing SQL and past experience using Databricks strongly preferred.
  • Operational Expertise: Proven capability in managing operational workflows, establishing SOPs, and running root-cause analyses within complex systems.

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 2 Pay Range
$159,600$219,450 USD
Zone 3 Pay Range
$150,700$207,250 USD
Zone 4 Pay Range
$141,900$195,150 USD

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
$177,400$243,850 USD
Zone 2 Pay Range
$159,600$219,450 USD
Zone 3 Pay Range
$150,700$207,250 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.

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.

HQ

Databricks San Francisco, California, USA Office

160 Spear Street, San Francisco, CA, United States, 94105

Databricks Mountain View, California, USA Office

351 E Evelyn Ave Mountain View, CA USA, Mountain View, United States, 94041

Similar Jobs

13 Minutes Ago
Remote
USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Own production operations for workplace AI platforms, including configuration, integrations, observability, secrets, access controls, model and prompt changes, benchmarking, and incident response. Translate technical findings into governance, risk, compliance, and training materials while collaborating with Security, Legal, HR, and business stakeholders. Investigate failures, implement mitigations, document root causes, and maintain reliable, secure AI services.
Top Skills: Access ControlAi/Llm PlatformsAlertingAPIsInfrastructure As CodeJSONLoggingMetricsMonitoring And ObservabilityPrompt EngineeringRpa/Workflow EnginesSecrets ManagementYaml
13 Minutes Ago
Remote
USA
143K-214K Annually
Senior level
143K-214K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.
Top Skills: Api SecurityBlack DuckBurp SuiteCheckmarxCi/CdContainer Security ScanningCyclonedxDastGithub Advanced SecurityGitlab Security ToolsInfrastructure-As-Code Security ScanningKubernetesMendNist Sp 800-218Nist SsdfOwasp SammOwasp ZapSastSbomScaSecrets DetectionSemgrepSlsaSnykSonarqubeSpdxVeracodeVex
14 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
80K-100K Annually
Senior level
80K-100K Annually
Senior level
AdTech • Artificial Intelligence • Cloud • Digital Media • Marketing Tech • Analytics • Consulting
Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.
Top Skills: Adobe AnalyticsAdobe LaunchAmazon Web ServicesAsanaData StudioGoogle AnalyticsGoogle Cloud PlatformGoogle Tag ManagerLookerAzurePower BISegmentTableauTealium Tag Management System

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account