LastRound AI — Job Posting Pay Transparency Dataset
Snapshot: 1 August 2026

WHAT THIS IS
Aggregate counts derived from 101,432 open job postings collected from the
public job boards of two applicant tracking systems, Greenhouse and Lever,
covering 2,704 distinct companies. No private data, no scraping behind a login.
Individual postings are not redistributed; only aggregates are published.

FILE
lastroundai-job-posting-transparency-2026-08.csv

COLUMNS
  dimension            grouping applied (overall, ats_platform, country,
                       seniority, posting_age, work_mode)
  segment              value within that dimension
  postings             count of postings in the segment
  discloses_pay        count stating pay anywhere (structured field OR text)
  pct_discloses_pay    discloses_pay as a percentage of postings
  structured_pay_field count with a populated machine-readable salary field
  pct_structured       structured_pay_field as a percentage of postings

  Pay columns are blank for the seniority, posting_age and work_mode rows;
  those dimensions were tabulated for counts only.

DEFINITIONS

Pay disclosure. A posting counts as disclosing pay if its structured salary
field is populated, OR its description contains a dollar figure in the
thousands (written as $120,000 or $120k) or one of the phrases "salary range",
"base pay range", "compensation range", "pay range".

Seniority. Assigned from the job title only, first match wins:
  intern                        title contains intern / internship
  entry_junior_graduate_trainee entry level, junior, jr, graduate, grad,
                                trainee, apprentice
  senior_staff_principal_lead   senior, sr, staff, principal, lead, head of,
                                director, vp, chief
  mid_or_unspecified            everything else

  NOTE: "associate" is deliberately NOT counted as entry level. It appears in
  5,742 titles and is frequently used for mid or senior roles (Associate
  Director, Associate Partner). An earlier draft of this analysis included it
  and materially overstated the entry-level share.

LIMITATIONS, STATED PLAINLY

1. The pay-text pattern is tuned for dollar amounts and English phrasing. It
   under-counts postings stating pay in rupees, euros or pounds without a
   recognised keyword. Treat every disclosure figure as a LOWER BOUND. The
   India, UK and Australia rows are the most affected.

2. Two platforms are not the whole market. Workday, Ashby, SmartRecruiters and
   Taleo are absent.

3. Seniority is inferred from title text alone. About two thirds of titles
   carry no level signal at all, so the mid_or_unspecified bucket contains an
   unknown mix of junior- and senior-eligible roles.

4. Company sizes are uneven. A single large employer can move a country
   percentage.

5. "posted_at" is the date the platform reports, which is not always when the
   role genuinely opened.

KEY FINDING
Greenhouse's public job board API exposes no salary field at all: 0 of 49,722
postings carry structured pay. Lever's API does, and 15,060 of 51,710 (29.1%)
use it. Yet Greenhouse employers state pay in the description slightly more
often than Lever employers (37.4% vs 30.3%). The disclosure exists; the
structured field to hold it does not. Both APIs are public and this is
reproducible in two requests without an account.

LICENCE
CC BY 4.0. Free to use with attribution to LastRound AI and a link to
https://lastroundai.com/blog/salary-transparency-study-2026

CONTACT
contact@lastroundai.com