Join Pave Data Lab
Built exclusively for compensation and total rewards professionals, Pave Data Lab is the AI-powered insights community you've been waiting for.
As a participant in Pave Data Lab, you'll receive access to daily interactive analyses from our data science team and invites to join weekly quick polls and monthly pulse surveys.
Plus, all the insights above are actively supercharging our powerful AI search experience so you get answers to urgent questions when you need them most.
.png)
Who This Is For
Pave Data Lab is designed for professionals who influence or guide compensation decisions, including: HR professionals responsible for talent strategy and pay programs, compensation and total rewards leaders building competitive, equitable structures, and executives involved in pay decisions who need clear, defensible compensation insights.
Tour Pave Data Lab
Take a quick guided tour of Pave Data Lab to explore all of the insights and tools we've created for community members like you.
Inside, the pace of discovery is rapid
Explore recently published interactive insights on topics like AI and ML compensation trends, unvested equity holdings by tenure, job level distributions by function, new hire vesting schedules at private vs. public companies, and more. Once you dive into Pave Data Lab, it's hard to leave.
Verified professionals and verified answers
Pave Data Lab is a curated community of verified compensation and total rewards professionals. Every request to join is reviewed to maintain a high standard of expertise and signal quality.
Compensation insights are derived from anonymized, aggregated data sourced directly from connected systems and community participation. Insights are refreshed continuously as new data flows in, ensuring benchmarks reflect current market conditions rather than outdated survey snapshots. This frequent updating improves reliability for nationwide role benchmarking and trend analysis.
.png)
Compensation Insights FAQs
Compensation insights that show current salary ranges, equity trends, and role-level benchmarks help employees understand how their pay compares to the broader US market. These insights provide context around growth, leveling, and competitive positioning.
Accurate compensation insights give job seekers data-backed confidence during negotiations. Understanding market-aligned pay ranges and equity norms helps candidates evaluate offers realistically and advocate more effectively.
Companies rely on platforms like Pave, which aggregate real-time compensation data from thousands of US companies. These sources provide more reliable insights than static surveys, especially for evolving roles and emerging markets.