Palo Alto Networks
Principal Product Manager (SDDC- Threat Intelligence)
$177K–$286K
Santa Clara, United States of America · No · Principal · Full-time · Posted Oct 28, 2026
- Experience
- Minimum 10 years combined experience in technical product management, threat engineering, threat research, or security engineering.
- Education
- BS/MS in Computer Science, Cybersecurity, Computer Engineering, or a related technical field.
- Visa sponsorship
- No immigration sponsorship; the employer will not sponsor work visas for this position.
About the job
Leads product strategy and delivery for network security capabilities that use threat intelligence, active defense, and AI-driven insights to protect customer environments.
What you'll do
- Integrate threat intelligence, intrusion prevention, vulnerability management, and automated defense into network security platforms; lead strategy for agentic attacks and deception.
- Use customer traffic, threat telemetry, posture assessments, and red-team simulations to prioritize and validate product capabilities.
- Coordinate with research, engineering, and sales teams to deliver secure, high-quality releases and communicate product strategy to executives and customers.
What they ask for
- BS/MS in Computer Science, Cybersecurity, Computer Engineering, or a related technical field.
- Hands-on background in threat engineering, malware analysis, vulnerability management, or security research.
- Deep understanding of agentic attack techniques, AI/ML-driven threat vectors, and network deception; experience with offensive security, red teaming, penetration testing, and IPS/IDS validation.
- Strong understanding of network security and networking architectures, and a record of taking complex security and networking products from concept through launch.
Nice to have
- Familiarity with HA, disaster recovery, ZTNA, and SSE.
- Experience communicating complex security research and leading across engineering and research teams.
Pay
USD $176,800.00 - $286,000.00/yr base salary
Tools
AI, Machine Learning (ML), IPS/IDS, Switching, Wireless, L2/L3 networking protocols, spine-leaf, Cloud/Multi-Cloud
AI focus
Applies AI, machine learning, and AI-driven threat intelligence to identify attack surfaces and shape product features; leads strategy for agentic attacks and proactive agentic red-team simulations.
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