(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 roleThis 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.
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.
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
What you need to know about the San Francisco Tech Scene
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
