GTM Engineering Benchmarks and Statistics
The State of GTM Engineering Report 2026 surveyed 228 practitioners across 32 countries. These pages break down every finding: from salary benchmarks to tool adoption, bottlenecks to hiring trends.
The First Real Benchmark for GTM Engineers
Before OneGTM's State of GTM Engineering Report 2026, there was no industry-wide benchmark for this role. Every salary estimate was anecdotal. Every claim about tool adoption was a vendor's self-reported number. This report changed that.
228 working GTM Engineers shared their salaries, tool stacks, career paths, frustrations, and predictions. Garrett Wolfe, Alex Lindahl, and Maja Voje compiled the data and published it openly. We took that data, combined it with our analysis of 3,342 job postings, and built the most comprehensive resource for GTM Engineering career intelligence available anywhere.
What the Data Covers
Nine deep-dive pages below, each focused on a specific dimension of the GTM Engineering role. The 50 Key Statistics page is a quick-reference roundup. The Demographics page shows exactly who responded. The analysis pages dig into operator vs engineer splits, bottlenecks, learning patterns, headcount projections, and future predictions.
Every number is cited from the original report. Where we add editorial commentary (and we do), it's clearly labeled as analysis rather than raw data. The Report Summary page is our most opinionated take.
Key Headlines
The median GTM Engineer earns $132K. That number obscures a massive range: operators without coding skills average around $110K, while engineers who write Python and build integrations average $155K. The $45K gap is the story inside the story.
Clay appears in 84% of respondents' tool stacks. CRM adoption is 92%. AI coding tools hit 71%. These aren't adoption curves; they're near-saturation numbers for a role that barely existed three years ago.
25% of GTM Engineers say bandwidth is their biggest bottleneck. Not tools, not skills, not buy-in. There's too much work and not enough people. That's a hiring signal, a salary signal, and a burnout signal all wrapped together.
45% of respondents say their company understands the GTM Engineer role. That means 55% are building critical pipeline infrastructure at organizations that don't know what to call them, where to put them on the org chart, or how to evaluate their work.
How to Use These Benchmarks
If you're a GTM Engineer: use the salary data for negotiation, the bottleneck data to advocate for headcount, and the tool data to benchmark your stack against peers. The 50 stats page is your quick-pull reference for any conversation with leadership.
If you're hiring: the demographics page tells you where the talent pool is. The headcount trends page shows you how competitive hiring will get. The operator vs engineer page helps you decide which type you need.
If you're building tools: the frustrations data and wishlist data from our tool frustrations and wishlist pages tell you what practitioners want. The adoption numbers tell you who your competitors are.
Benchmark Deep-Dives
50 Key Statistics
Every major data point from the State of GTM Engineering Report in one scannable page. Salary, tools, career, agency, and job market stats.
Survey Demographics
228 respondents, 32 countries, median age 25. Who answered the survey and what their backgrounds tell us about the field.
Report Summary
Editorial analysis of what the State of GTM Engineering Report 2026 means. Key takeaways, surprises, and implications.
Operator vs Engineer
The bimodal divide in GTM Engineering. Coding distribution, the $45K salary gap, and which track to choose.
Top Bottlenecks
Bandwidth (25%), tool complexity (17%), organizational buy-in (8%). What blocks GTM Engineers from doing their best work.
Company Understanding
45% of companies understand the GTM Engineer role. 9% partially. The rest are guessing. What that means for your career.
Learning Resources
LinkedIn (174 mentions), YouTube, and peers. How GTM Engineers learn their craft and which resources matter most.
Headcount Trends
Most companies plan to grow their GTM Engineering teams in 2026. Hiring intent by company size and what it means for salaries.
Future Predictions
AI agents, RevOps convergence (9.6%), tool consolidation. What GTM Engineers think happens next.
Methodology Notes
The State of GTM Engineering Report 2026 was conducted by OneGTM (Garrett Wolfe, Alex Lindahl, Maja Voje). 228 self-identified GTM Engineers completed the survey. Responses came from 32 countries, with 58% (132) from the United States.
Sample limitations: 228 is a meaningful sample but not statistically representative of all GTM Engineers globally. Respondents self-selected, which introduces bias toward engaged practitioners who follow GTM Engineering communities. The median age of 25 suggests the sample skews younger than the broader population.
Our job posting analysis covers 3,342 postings collected between January 2024 and February 2026 from major job boards. We cross-referenced survey data with job posting data where possible (salary ranges, tool requirements, location distribution).
For the full methodology behind our salary calculations, see the salary methodology page. For how we collect tool data, see the tools index.
Source: State of GTM Engineering Report 2026 (n=228). Salary data combines survey responses from 228 GTM Engineers across 32 countries with analysis of 3,342 job postings.