USA Revenue Operations Salary Report 2026

On disclosed postings, role medians run from $72,000 for CRM managers to $140,000 for GTM engineers, a spread of about 94%. The newer, more technical roles pay most: GTM engineers lead at $140,000, followed by marketing operations at $125,000 and revenue operations proper at $120,000, with sales enablement ($116,639) and deal desk analysts ($111,506) close behind. Traditional sales operations sits lower at $97,090, and revenue analysts and CRM managers anchor the bottom near $78,675 and $72,000. GTM engineer is the newest of these titles, a hybrid of revenue operations and technical automation, and it already sits at the top of the pay scale. The feed carries no posting count per role, so treat the exact ordering as directional.

On web-sourced state data, California leads at $143,500, about 9% above Washington at $132,000, with New York third at $129,000. The concentration is unmistakably in the technology hubs. Florida is lowest among ranked states at $103,000. Among cities San Francisco tops the list at $150,000, ahead of New York at $136,500 and Seattle at $134,500. These figures are web-sourced estimates without per-area posting counts, so read them as directional rather than definitive.

Median posted pay held in a narrow band through the first half of 2026. The series is a rolling pooled median, which damps the small-sample noise that individual months carry in a niche this size. Among months with enough disclosed salaries to stand alone, the median is highest in April at $116,828 and lowest in June at $105,000, a range of about 10%. January and May rest on the fewest postings and are marked lower-confidence rather than read as trend.

Beneath the headline the market is candidate-deep but quick. Glozo data shows roughly 22 candidates in the pool for every open vacancy, drawn from about 47,000 revenue operations candidates, yet the average listing stays live only about eight days. GTM engineer postings run longest at about nine days, while deal desk analyst roles clear fastest at about six. The two ends of the market behave differently: broad operations supply is ample, while the newer engineering-leaning roles take longer to fill. At about 22 candidates per opening the field looks deep on paper, but the eight-day median lifespan means the roles that matter move fast, so a large pool does not translate into an easy hire for the technical seats.

The mix is overwhelmingly permanent. Full-time roles account for about 91% of postings, with contract work near 4% and the rest split across internship, temporary and part-time. A mix this weighted toward full-time points to employers building durable in-house revenue teams rather than staffing the function through contractors.

Among the skills measured, the clearest pay premium attaches to AI and automation, about 47% over the industry median, well ahead of the next tier. Technical RevOps skills follow, SQL, Python and API work at about 21% and business-intelligence tools at about 18%, with marketing-automation and Salesforce administration certifications adding about 15% and 14%. The signal is consistent: the roles that pair revenue process with AI and data engineering command the steepest premium, and generic tool familiarity adds far less.

The candidate pool skews mid-career. It concentrates in the specialist tier, about 56% of candidates, with leadership and expert layers near 25% and 17%, while entry-level candidates are thin at about 2%. For employers that means deep specialist supply but a shallow entry pipeline, so early-career hiring competes for a small pool while mid and senior roles draw from a much larger one. The thin entry tier also signals that revenue operations is rarely a first job; most candidates arrive after building experience in adjacent sales, marketing or analytics roles.

This benchmark comes entirely from the Bureau of Labor Statistics, not Glozo postings, and covers the broad business operations specialists occupation group rather than revenue operations alone. Within that group women's median earnings are about 18% below men's, modestly narrower than the roughly 19% national gap across all occupations. Both figures come from BLS, so the comparison is like for like, but read it as a directional proxy since revenue operations is not a standalone BLS category.