Sr. Manager, GTM Compensation Design & Execution

SLSQ227R439

The Manager, GTM Compensation Design & Execution, will lead the strategy and execution of the seller compensation experience, spanning enablement, tooling, analytics, and process design. This role ensures sellers have clear, real-time visibility into how they earn and perform through intuitive compensation systems, dashboards, and communications. By combining strong operational leadership with emerging AI capabilities, this role will drive automation, transparency, and scalable compensation infrastructure while partnering cross-functionally to align programs with business objectives. This role will fall within Databricks’ GTM Strategy & Operations organization.

Key Responsibilities:

• Own the end-to-end employee experience for sales compensation, ensuring compensation plans, tools, and processes are transparent, easy to understand, and trusted by the sales organization.

• Lead the compensation enablement program, including onboarding, training, documentation, and ongoing communications that help sellers clearly understand how they earn, track progress against quota, and maximize performance.

• Design and manage sales compensation tools that drive workflow automation, performance reporting, and rep-facing earnings visibility. Partner with technical teams to build and deliver new attainment dashboards that provide real-time performance insights for sellers and leadership.

• Drive AI strategy within the sales compensation function, identifying opportunities for AI to improve compensation performance insights and enhance rep self-service. Establish a roadmap for AI use cases for the GTM Compensation Program and a path to execution.

• Partner cross-functionally with GTM Leadership, Finance, Product and IT to ensure compensation programs and tools are scalable, compliant, aligned to company goals, and deliver a positive and motivating experience for employees.

What we look for:

• 5+ years in sales compensation, revenue operations, sales operations or sales programs

• Experience creating and presenting enablement content to a Sales organization. Must be able to deliver messaging with clarity and confidence, articulating the strategic rationale behind decisions.

• Expertise in designing, implementing, and administering variable sales compensation plans for GTM organizations, preferably under a Consumption revenue model

• Extensive experience in revenue operations, strategy, and planning at a high-growth, technology company

• Expertise in content development and executive summaries

• Ability to operate independently and as part of a team that contributes to the organization's success and growth

• Experience with Databricks preferred; familiarity with AI/BI dashboarding tools, Google Workspace, and content creation platforms

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
$148,600—$204,250 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 2 Pay Range
$133,700—$183,800 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.