Compensation Consultant
Palo Alto · Palo Alto, CA HQ · USD 148,400-222,600 · Posted Sep 30, 2026
At a glance
- Location
- Palo Alto · Palo Alto, CA HQ
- Salary
- USD 148,400-222,600
About the role
- Serve as the primary compensation partner for assigned business units, guiding decisions on offers, job adjustments, retention strategies, and policy updates.
- Lead end-to-end benchmarking, scoping, total rewards recommendations, and annual VP comp review process.
Responsibilities
- Serve as the primary compensation partner for assigned business units, guiding decisions on offers, job adjustments, retention strategies, and policy updates.
- Lead end-to-end benchmarking, scoping, total rewards recommendations, and annual VP comp review process including custom templates, communication, presentation prep and modeling for CEO review, input, and approval.
- Conduct routine compensation health audits, ESPP program modeling/analysis, additional equity program reviews (as backup), cross-functional analyses, and annual performance cycle roll-ups.
- Lead the quarterly organizational scorecard process.
- Drive the compensation education roadmap, developing training materials and intranet resources in partnership with TA, HRBPs, and the Compensation team.
- Support annual compensation planning efforts for assigned organizations and lead Rubrik-wide mid-year promotion process.
- Utilize AI and other methods to streamline compensation processes and practices.
- Partner with Talent Acquisition to design creative, market-competitive offer strategies for candidates.
- Consult directly with HRBPs and executives to guide compensation outcomes using data-driven models and recommendations.
- Work closely with FP&A, Stock Admin, Tax, Legal, Audit, Immigration and Communications teams.
Requirements
- 7+ years in broad-based compensation (market analysis, VP/exec comp, equity, and consulting)
- At least 3 years in high-tech and supporting technical functions
- BA/BS degree in Business, HR, or related field (or equivalent experience)
- Advanced proficiency in data modeling and presentation tools (Excel, Google Sheets, PowerPoint, Google Slides)
- Strong AI/Automation skills
Preferred qualifications
- Extensive experience with Google Workspace preferred.
Benefits
- Bonus potential
- Equity
- Benefits
Skills
- Excel
- Google Sheets
- PowerPoint
- Google Slides
- Google Workspace
- AI/Automation