Equity Data Needs a Philosophy to Go With It
Base salary bands work because they rest on clear levels, clear ranges, and a clear rationale for where someone lands. Equity rarely gets the same discipline. In Pave’s data on AI/ML new hires, equity grants vary far more than base salary does. When two peers hired in the same quarter end up far apart and no one can explain why, the gap is in the philosophy, and no benchmark will close it.
This deck covers what Pave’s market data shows on equity eligibility, vehicles, vesting, burn rate, and retention. Each data slide is paired with the company context that determines whether a benchmark applies to you. Use it as a practical frame for deciding when to match the market, when to depart from it, and how to explain either choice to leaders and employees.