Sr. Compensation Manager GTM

Posted 3 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
218K-300K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.
Summary Generated by Built In

(GAQ327R299)

Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go To Market) org.  This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.  This role reports to the Senior Director of Compensation. 

At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!

The impact you will have:

Scope of the role

This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:

  • Compensation solutioning for GTM talent (40%)
  • Managing Compensation processes through the employee life cycle (30%)
  • Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)

What we look for:

We’re looking for someone who has the following strengths:

Compensation expertise

  • Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay for performance design
  • Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics
  • Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector
  • Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint

Operational and partnership excellence

  • Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also to think ahead and anticipate future needs
  • Operational capability - connect the dots between systems, players, and programs to seamlessly deliver compensation programs/ products
  • Savvy collaborator - partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes
  • Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, transfers, and org changes; support sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations

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 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 anticipated 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
$217,800$299,550 USD
Zone 2 Pay Range
$196,100$269,600 USD
Zone 3 Pay Range
$185,200$254,650 USD
Zone 4 Pay Range
$174,200$239,600 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 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

  • Job architecture, compensation frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay-for-performance design
  • Exceptional analytical skills to synthesize complex data into clear recommendations
  • Advanced capabilities in Google Sheets and Excel
  • Deep expertise in tech compensation practices, including new-hire and refresh equity strategies
  • Ability to design compensation models and frameworks that scale across the organization
  • Operational capability to connect systems, stakeholders, and programs to deliver compensation solutions
  • Trusted advisor skills for offers, promotions, leveling, retention, transfers, and org changes
  • Experience with Tableau, SQL, Python, or AI for compensation analytics
  • Strong partnership and stakeholder management with founders and executive leadership

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

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The Company
HQ: San Francisco, CA
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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