Manager, GTM Commissions Design

Reposted 12 Days Ago
Be an Early Applicant
3 Locations
In-Office or Remote
149K-204K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead the strategy and execution of sales compensation, ensuring transparency and effectiveness across tools and communication. Collaborate with multiple departments to enhance the compensation experience through AI and analytics.
Summary Generated by Built In

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 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.

Skills Required

  • 5+ years in sales compensation, revenue operations, or sales programs
  • Experience creating and presenting enablement content to a Sales organization
  • Expertise in designing and implementing variable sales compensation plans
  • Extensive experience in revenue operations and strategy
  • Expertise in content development and executive summaries
  • Experience with Databricks preferred; familiarity with AI/BI dashboarding tools

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.

Databricks Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.

Similar Jobs

MetLife Logo MetLife

Billing Analyst

Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Remote or Hybrid
United States
43000 Employees
50K-65K Annually

Applied Systems Logo Applied Systems

Solution Specialist

Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Remote or Hybrid
United States
3040 Employees
62K-100K Annually

Skillsoft Logo Skillsoft

Marketing Manager

Artificial Intelligence • Consumer Web • Edtech • HR Tech • Information Technology • Software • Conversational AI
Remote
United States
2900 Employees
120K-125K Annually

Cox Enterprises Logo Cox Enterprises

Customer Care Specialist (Cox Automotive Fleet Client Solutions Delivery)

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Remote or Hybrid
United States
50000 Employees
18-27 Hourly

Similar Companies Hiring

Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account