Cybersecurity Revenue Operations OTE & Compensation
$110,000-$220,000 OTE+161% vs US medianOTE = Base + Variable
OTE (On-Target Earnings): base salary plus expected commissions and bonuses
Version 1.0 — Published April 2026 — Last verified April 2026
Detailed compensation analysis is being prepared. The OTE range for Cybersecurity Revenue Operations roles is $110,000-$220,000 OTE, with a median OTE of $155,000. OTE (On-Target Earnings) includes base salary plus variable compensation (commissions and bonuses) when quota is met.
Last verified: April 2026?Report an inaccuracy
Salary data is compiled from public sources including the Bureau of Labor Statistics and industry surveys. Actual compensation varies by location, experience, company, and negotiation. This information is for educational purposes only and does not constitute financial advice.
A cybersecurity Cybersecurity Revenue Operations earns $110,000-$220,000 OTE on-target earnings based on quota attainment. Base salary makes up a portion, with variable compensation tied to performance.
Key factors include geographic location (metro areas pay 15-30% above national median), years of experience, industry sector (finance and defense typically pay more), certifications held, and company size. Security clearance can also significantly increase compensation.
Cybersecurity Cybersecurity Revenue Operations roles are in high demand, which supports strong compensation. The ongoing shortage of qualified cybersecurity professionals continues to drive salaries above comparable IT positions.
Earning advanced certifications (CISSP, CISM, or role-specific credentials), gaining experience in high-demand specializations, relocating to high-paying metro areas, or moving into senior or management roles are the most reliable paths to higher compensation. Use the DecipherU salary calculator to benchmark your current market value.
Sources
- Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2024
- O*NET OnLine — Occupation data and skill profiles
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DecipherU career intelligence is developed by Julian Calvo, Ed.D., M.S., using AI-assisted research, analysis, and content generation: reviewed and validated against the DecipherU Methodology™. Career and compensation data is sourced from the U.S. Bureau of Labor Statistics, O*NET OnLine, and industry compensation databases. Assessment frameworks are grounded in published psychometric research, applied learning sciences (University of Miami), organizational learning theory (Barry University), and applied AI (Northeastern University). DecipherU uses artificial intelligence as a research and authoring tool; all methodology, framework design, scoring models, and editorial standards are developed and maintained by the DecipherU team.