How to Research What a Role Actually Pays (Beyond Glassdoor)
Glassdoor will tell you a VP of Sales makes $180K. The recruiter will confirm "the range is competitive." You'll take the call, impress the panel, get the offer - and leave $60K on the table because you had no idea the real number was $240K. This happens constantly at the Director and VP level. The public data is sanitized, self-reported, and often years stale. The people who negotiate well aren't smarter. They've done their homework in places most candidates never look.
Why Glassdoor Is Structurally Broken for Senior Roles
Glassdoor's model relies on voluntary self-reporting. Employees log in, enter their salary, and that data gets averaged with everyone else who ever held the same title at that company. There are three problems with this for Director and VP compensation research.
First, the data pools people who accepted offers three years ago with current hires. Comp has moved dramatically in enterprise SaaS since 2021. Second, title inflation means a "Director of Sales" at a 30-person startup and a "Director of Sales" at a 5,000-person public company are averaged together. Third, and most damaging: the people most likely to share their salary on Glassdoor are early-career employees. Senior leaders don't bother.
A 2024 analysis of Glassdoor versus verified offer data found salary estimates were under by an average of 28% for Director-level roles at enterprise software companies - and up to 45% under for VP-level roles with equity included.
The fix isn't to ignore aggregate data entirely. It's to treat Glassdoor as a floor, not a ceiling - and triangulate from at least two other sources before you ever hear the word "offer."
The deeper issue: most candidates don't know what they're worth because they've never seen real comp data for their exact profile - their industry, their stage of company, their geography, their quota size. The sources exist. They just require knowing where to look.
The Salary Research Stack That Actually Works
Here's what senior operators use when they want real numbers. Not a ranked list. A stack - each source serving a different purpose.
Built for tech compensation. Real offer data, broken out by base, bonus, equity, and signing. Filter by company, title, and year. The equity breakdowns alone are worth the 10 minutes. Weakness: skews toward engineering and product. Sales and GTM data is thinner. But the company-by-company equity norms are invaluable even for non-technical roles - they tell you how that company structures comp, which anchors your negotiation on options and RSUs.
Purpose-built for sales comp. VP and Director-level data is far richer here than anywhere else. You can filter by company stage (Series A through public), ACV range, and quota size. This is the source that will show you what on-target earnings look like at scale for enterprise sales leaders - not averages across all company types.
Underrated. Not because the numbers are more accurate - they aren't. But LinkedIn lets you filter by years of experience, education, and geography simultaneously. What you're looking for is the distribution, not the average. If the 75th percentile is $220K and you're a 15-year veteran with enterprise background, you now have a defensible anchor.
Radford (Aon), Mercer, and Willis Towers Watson publish annual comp surveys. The full reports cost thousands - but the executive summaries and press releases are free. GTM-specific benchmarks also come from OC&C, Bain, and Korn Ferry annually. These are what compensation committees actually use to set ranges. When you reference them in negotiation, you signal you've done serious homework.
This one gets left off every public list. Third-party (agency) recruiters know the market in real time because they place 10-15 people into similar roles per quarter. They get paid when you get placed, so they're incentivized to tell you the truth. Build two or three recruiter relationships before you're actively searching. Ask: "What are you seeing VP-level GTM roles paying at Series C companies right now?" The answer will be more current than any database.
Before your first conversation with any recruiter, build a comp brief: three data points from different sources, formatted as a range. "Based on Comprehensive, Levels, and recruiter market feedback, I'm seeing this role at $210K-$260K base plus equity at this stage." This turns salary into a research-backed position, not a wish.
Reading the Job Description for Hidden Comp Signals
Companies telegraph what they're willing to pay before you ever speak to a recruiter. Most candidates read job descriptions for requirements. Senior candidates read them for budget signals.
In US states and some countries with pay transparency laws - Colorado, California, New York, Washington, and the EU Pay Transparency Directive - companies are legally required to disclose comp ranges in job postings. If you're applying to a company headquartered or operating in these regions, the range is in the posting. Check it first.
How to Get Real Numbers from Your Network
No database has better data than a peer who just accepted an offer at the company you're interviewing with. The problem is most people won't tell you directly. The workaround is simple: don't ask directly.
I never ask 'how much do you make.' I ask 'what's the structure like - base, bonus, equity?' Most senior people will answer that without hesitation. Structure is less personal than a number.
- VP of Revenue at a Series D SaaS company, speaking off the recordThree specific network plays that work at the senior level:
Comp data you gather from your network is proprietary. Treat it accordingly. Never tell a recruiter "I know someone at your company making X." Reference benchmarks, not insider intel. Say: "Based on the market data I've reviewed, I see this role ranging from X to Y." Same information. Very different optics.
Stop guessing what your next role should pay.
JobHunter runs salary benchmarks automatically for every role it finds - so you walk into every recruiter call with a number, not a range you hope sounds right.
What the Market Actually Pays Director/VP-Level GTM Leaders
To make this concrete: here's a rough benchmark picture for senior GTM and revenue roles in enterprise SaaS as of 2025. These are not aspirational numbers. They're drawn from verified offer data across Levels.fyi, Comprehensive.io, recruiter surveys, and pay transparency disclosures in US states requiring it.
These are US market rates. APAC-based roles at US-headquartered companies typically pay 85-95% of US base, with equity parity. Regional roles for APAC-only companies are often 20-30% lower on base but can have meaningful equity upside at earlier-stage companies growing fast in the region.
The variables that move these numbers most:
For deep context on how your specific profile compares to the talent pool, see the section on understanding offer dynamics and counter-offers - knowing comp benchmarks and knowing how to use them in negotiation are two different skills.
What to Do This Week
Research without action is just trivia. Here's the sequence that turns this information into negotiation power before your next offer conversation.
If you're actively searching right now, run your full comp research before any first-round conversation - not before the final round. Recruiters often ask about expectations in the first call. Saying "I haven't looked into it yet" signals you're not prepared. Saying "Based on my benchmark research, I'm targeting X-Y total comp" signals exactly the opposite.
The executives who negotiate the best offers aren't better at negotiating. They're better prepared. They walk in knowing the number, knowing the market, and knowing what they'll walk away from. That preparation starts well before any offer arrives - and it starts with going beyond the first salary site Google shows you.
If you want a system that does this research automatically for every role you're tracking, see how JobHunter works. And if you're trying to understand whether your current profile would pass the filters most senior-role applicant tracking systems use, this piece on positioning and outreach is worth reading next.
Candidates who enter offer negotiations with verified benchmark data accept final packages 18-22% higher on average than those who negotiate based on their previous salary alone, according to a 2024 survey of executive recruiters across enterprise tech.
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