| Role family | Postings | Median midpoint |
|---|---|---|
| support / ops | 25 | $111,949 |
| engineering | 4 | $117,793 |
| sales | 2 | $225,569 |
| design | 2 | $180,552 |
| marketing | 2 | $132,389 |
| finance / legal | 2 | $128,196 |
| other | 2 | $137,540 |
| Title | Location | Low | High |
|---|---|---|---|
| Enterprise Account Executive - Public Sector, West | Remote - SF Bay Area | $350,000 | $350,000 |
| Director, Product Design | Remote - US | $235,600 | $294,500 |
| Senior Strategy & Ops Lead, Post-Sale Product Adoption | Remote - SF Bay Area | $145,000 | $212,500 |
| Executive Communications Lead | Remote - US | $118,720 | $212,000 |
| Sr. Software Engineer II, AI Platform | Remote - SF Bay Area | $130,900 | $198,000 |
| Litigation and E-Discovery Counsel | Remote - US | $119,298 | $180,450 |
| Manager, Enterprise Implementation - Core | Remote - Denver | $109,480 | $165,600 |
| Manager, Implementation - Enterprise Select | Remote - US | $109,480 | $165,600 |
| Senior Strategic Implementation Consultant | Remote - US | $109,480 | $165,600 |
| AI Engineer, Customer Success | Remote - US | $105,910 | $160,200 |
| Digital Customer Success Manager, AI & Automation | Remote - US | $105,910 | $160,200 |
| Solutions Integration Engineer IV | Remote - US | $105,910 | $160,200 |
Across 39 postings that state a pay range, the median midpoint is $113,588. The middle 50% sits between $101,212 and $133,055, and the 90th percentile is $164,632. All figures are annualised and converted to USD.
39 of the postings we read from greenhouse carried a range on the day we measured (2026-10-24). The rest did not publish pay at all, so they are not in these numbers.
support / ops is the largest family in this sample (25 postings, median $111,949). The table above lists every family we saw and the highest individual ranges.
No. This is what the company itself published in its job postings, normalised to a yearly USD range. Real offers vary by level, location and equity, and many postings omit pay entirely.
These 39 rows are part of one CSV covering every company we read: the full dataset (salary-ranges-full.csv) under CC BY 4.0. Or pull it into Python:
pip install https://sjdfi0wjvosdju9.github.io/packages/salaryranges-0.1.1-py3-none-any.whl
import salaryranges
salaryranges.by_company("samsara")
If you want the same numbers refreshed on a schedule, including the postings that never publish pay, that is the paid part: ATS Job Feed ($0.0015 per returned job).