REPORT

B2B Data Tools Salary Report

What do companies pay people who work with B2B data tools? We pulled salary data from 23,338+ job postings to find out.

The Quick Numbers

$134K Median midpoint salary across all roles
$88K-$209K Entry to Senior salary range
32% Roles offering remote work
SF Bay Area Highest-paying metro ($219K avg max)

Salary by Tool

Average salary ranges for roles that mention specific B2B data tools. Tools with fewer than 5 salary-reporting postings are excluded.

Tool Salary Range Midpoint Sample
Boomi $233K - $331K $282K 5 jobs
Demandbase $164K - $240K $202K 8 jobs
Instantly $162K - $225K $193K 38 jobs
MuleSoft $162K - $213K $187K 10 jobs
Fivetran $156K - $211K $184K 11 jobs
Clearbit $158K - $207K $183K 7 jobs
Apollo.io $146K - $173K $159K 37 jobs
Warmly $132K - $187K $159K 31 jobs
6sense $134K - $182K $158K 22 jobs
n8n $138K - $179K $158K 6 jobs
DemandTools $135K - $181K $158K 32 jobs
Copper CRM $128K - $159K $144K 12 jobs
Microsoft Dynamics 365 $122K - $160K $141K 65 jobs
Clay $118K - $163K $140K 26 jobs
Outreach $125K - $148K $136K 7 jobs
Workato $121K - $151K $136K 5 jobs
Salesforce CRM $112K - $156K $134K 1694 jobs
Salesforce Marketing Cloud $110K - $155K $133K 28 jobs
Marketo (Adobe) $105K - $148K $127K 36 jobs
HubSpot CRM $108K - $142K $125K 432 jobs

Salary data from postings that include compensation ranges. Not all postings disclose salary.

Salary by Function

How compensation varies by department. Sales roles have the highest volume but lower base salaries (often supplemented by commission).

Product
$165K-$239K
181
Engineering
$161K-$233K
449
Data
$149K-$217K
310
Legal
$147K-$214K
192
Finance
$149K-$200K
583
Marketing
$145K-$195K
331
Operations
$130K-$176K
641
People/HR
$115K-$152K
481
Sales
$97K-$144K
4,082

Salary by Seniority

The seniority premium is steep. VP-level roles average $166K-$233K, while entry-level positions sit at $90K-$130K.

Level Avg Min Avg Max Sample
EVP $225K $291K 24 jobs
SVP $193K $276K 201 jobs
Head of $192K $261K 126 jobs
VP $166K $233K 1,607 jobs
C-Level $162K $215K 455 jobs
Senior $137K $209K 4,782 jobs
Director $141K $193K 1,756 jobs
Manager $132K $185K 48 jobs
Entry $90K $130K 748 jobs
Mid-Level $88K $124K 1,360 jobs

Salary by Metro

Geography still matters, even with 32% of roles being remote. SF and NYC command the highest salaries, with LA posting the most volume.

Metro Avg Min Avg Max Postings
San Francisco $151K $219K 493
New York $140K $197K 1,418
Seattle $140K $206K 288
Boston $144K $202K 340
Washington DC $145K $197K 282
Denver $141K $195K 126
Chicago $137K $195K 283
Los Angeles $118K $166K 1,786
Austin $108K $159K 364
Miami $126K $174K 100

What This Means for You

If you're a RevOps or data ops professional, the salary picture is strong. Even entry-level roles in this space start around $90K, and the path to $200K+ is well-defined through the VP/Director track.

Tool expertise matters for compensation. Roles mentioning niche tools like Demandbase or Gong tend to pay more than generalist CRM roles. That tracks: specialists command premiums.

The remote-friendly rate of 32% is lower than pure software engineering but higher than most sales roles. Operations and data positions are the most likely to offer remote work.

Methodology

Salary data is extracted from job postings that include compensation ranges. We normalize all figures to annual salary (converting hourly and monthly rates). Postings below $30K/year are excluded as likely errors.

Not all postings include salary data. States with pay transparency laws (California, New York, Colorado, Washington) contribute disproportionately. Our sample size is noted in each table.

Read our full methodology.

About the Author

Rome Thorndike has spent over a decade working with B2B data and sales technology. He led sales at Datajoy, an analytics infrastructure company acquired by Databricks, sold Dynamics and Azure AI/ML at Microsoft, and covered the full Salesforce stack including Analytics, MuleSoft, and Machine Learning. He founded DataStackGuide to help RevOps teams cut through vendor noise using real adoption data.