Palo Alto Networks
Principal Product Manager (NetSec- AI Firewalls)
$177K–$286K
Office - USA - CA - Headquarters · No · Principal · Full-time · Posted Oct 7, 2026
- Experience
- 10+ years of relevant experience; fields include Product Management, Engineering, Solution Architecture, or a related technical role.
- Visa sponsorship
- Immigration sponsorship eligible: Yes.
About the job
Leads product strategy and delivery for managed cloud network security and firewall services, extending protection to AI infrastructure, applications, models, agents, and inference workloads.
What you'll do
- Own product strategy and roadmap for cloud-delivered and managed network security across hyperscalers, NeoClouds, and AI infrastructure.
- Define requirements and lead customer discovery for cloud-native firewall services and AI infrastructure security architectures.
- Partner with engineering, cloud providers, and go-to-market teams to develop, launch, position, and grow products.
What they ask for
- 10+ years of relevant experience in Product Management, Engineering, Solution Architecture, or a related technical role, with significant enterprise networking, cybersecurity, or cloud infrastructure experience.
- Deep understanding of next-generation firewalls, network security, and cloud networking architectures.
- Experience with a major cloud provider and with defining or delivering SaaS, managed cloud services, cloud-native firewalls, or Firewall-as-a-Service products.
- Strong understanding of AI infrastructure and application architectures, AI security challenges, and product delivery from concept through launch.
Nice to have
- Experience with NeoCloud, AI Factory, GPU Cloud, or accelerated-computing environments.
- Familiarity with NVIDIA GPUs, BlueField DPUs/SmartNICs, Kubernetes, accelerated networking, or distributed inference architectures.
Pay
$176,800.00 - $286,000.00/yr (USD; annual base salary for non-sales roles or base salary + commission target for sales/commissioned roles)
Tools
AWS, Azure, Google Cloud, OCI, AWS Bedrock, Azure AI Foundry, Google Vertex AI/Gemini, Kubernetes
AI focus
Develops security products for AI infrastructure and AI runtime, including protection for prompts, responses, APIs, models, agents, tool interactions, and inference workloads; uses AI-native development tools to prototype and validate product ideas.
Model-written summary · the original posting is authoritative