The AI-powered operating system for compensation
Global compensation benchmarks and predictive insights for the modern enterprise.
Free compensation benchmarks for startups with 1-200 employees.
Join our AI-powered insights community for compensation professionals.
Job matching and job leveling are perfect applications for AI and machine learning. Discover more about our approach at Pave, and get the details your key stakeholders need to know.
Discover what's new in compensation
Join Pave's extensive partner ecosystem
Perfecting the art and science of pay
Pave Team
Pave is a world-class team committed to unlocking a labor market built on trust. Our mission is to build confidence in every compensation decision.
Design a winning chief revenue officer compensation plan with base, variable, KPIs, and equity. See benchmarks, templates, and pitfalls to avoid.
Learn how to plan, budget, and execute your compensation cycle, from pay ranges to merit increases, with tips and tools to boost fairness and retention.
Learn what a non-qualified deferred compensation plan is, the tax implications of non-qualified deferred compensation, and how executives can maximize retirement savings.
Discover what the average bonus percentage in tech looks like by level, from P1 to M6. Explore Pave's 2026 data on bonus structures and eligibility.
Learn what a sales compensation to revenue ratio is, typical benchmarks, and how to align compensation spend with revenue performance and growth.
Use Pave's salary comparison by city data to see how pay varies across U.S. markets—and why cost of labor is the right benchmark.
Learn how a pay equity audit uncovers pay gaps, ensures compliance, and boosts retention. Steps, tools, and tips to build fair, defensible compensation.
Discover three of the top trends shaping equity program design, from insights from Pave and Infinite Equity.