Free Tech Salary and Equity Benchmarks Aim to Make Compensation More Transparent

In a recent LinkedIn post, Lenny Rachitsky discusses a free compensation benchmarking tool for in-demand technology roles, built in partnership with Pave. This article reports on Rachitsky’s announcement and the details he shared; it is independent coverage, not an article written by Rachitsky.

“Pick a role and location, and get detailed base salary and new-hire equity benchmarks, from entry-level IC to Sr. Director.”

A public resource for pay comparisons

Rachitsky says the resource is available through LennysJobs.com and lets visitors select a role and location to view base salary and new-hire equity benchmarks. The post says the figures span career levels from entry-level individual contributors to senior directors, and that the data is updated monthly.

That combination of role, location and seniority gives job seekers and employers several dimensions for comparing compensation. Rachitsky’s post presents the benchmarks as a way for people to better understand pay expectations. It does not specify which roles or locations are covered, how the figures are calculated, or how much data is available for each category.

Data partnership with Pave

According to Rachitsky, the benchmarks are based on Pave’s compensation dataset, which he describes as drawing directly from human resources, payroll and equity systems at more than 9,000 companies. He names OpenAI, Databricks, Ramp and Cursor as examples of companies represented in the data.

“This is the first time Pave has opened up this data to everyone”

The claim marks the central news in Rachitsky’s announcement: access to the benchmarks is being offered publicly and at no cost, rather than limited to organizations using compensation data internally. The post does not explain the dataset’s methodology, whether company-level information is identifiable in the tool, or what safeguards apply to the underlying records.

Rachitsky’s stated aim

Rachitsky frames the launch as a resource for workers negotiating or evaluating compensation. He writes that he is “excited to help more people get the comp they deserve,” positioning access to clearer pay comparisons as the project’s purpose. That is his stated rationale; the post does not offer evidence about the tool’s impact on individual offers or pay outcomes.

For readers considering the benchmarks, the announcement establishes what the tool says it provides and where its data comes from, while leaving practical questions—such as coverage by role and location—to the resource itself.

Rachitsky directs readers to LennysJobs.com/comp to use the tool. His LinkedIn post is the source of the announcement and claims summarized here.