Palo Alto Networks
Director, Product Management (Cortex Exposure Management)
$192K–$310K
Office - USA - CA - Headquarters · No · Director · Full-time · Posted Sep 29, 2026
- Experience
- 10+ years in product management; minimum 3 years of vulnerability management vendor-market domain expertise.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, Cybersecurity, a related technical field, or equivalent military experience.
- Visa sponsorship
- Immigration sponsorship: Yes
About the job
Leads strategy, roadmap, and execution for Cortex Exposure Management and Vulnerability Management solutions, helping customers discover assets, prioritize risk, and remediate exposure.
What you'll do
- Own product strategy, roadmap, and outcomes for Cortex Exposure Management and CTEM capabilities.
- Shape customer workflows for asset discovery, risk prioritization, and automated remediation; use metrics to improve results.
- Align engineering, go-to-market, sales, marketing, and customer success, and evangelize the product to stakeholders, customers, and partners.
What they ask for
- 10+ years of product management experience in a technology company.
- At least 3 years of product management domain expertise in the vulnerability management (VM, RBVM, CAASM) vendor market.
- Bachelor's or Master's degree in Computer Science, Engineering, Cybersecurity, a related technical field, or equivalent military experience.
- Track record delivering customer growth, retention, and optimization; leading large-scale cross-functional initiatives; and managing and expanding a product management organization.
Nice to have
- Strong go-to-market and business analysis skills in a fast-paced environment.
- Direct experience with AI/ML-driven products or platforms.
Pay
$191,800.00 - $310,200.00/yr USD, base salary (non-sales roles) or base salary + commission target (sales/commissioned roles)
Tools
Cortex Exposure Management, Continuous Threat Exposure Management (CTEM), VM, RBVM, CAASM, AI/ML
AI focus
Lead Exposure Management solutions using agentic AI for continuous asset discovery, risk prioritization, and remediation workflows.
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