Principal Product Manager (NetSec- AI Firewalls)

Palo Alto Networks•Office - USA - CA - Headquarters, CA

1d•$176,800 - $286,000•Onsite

About The Position

We are seeking a highly technical and strategic Principal Product Manager to drive the next generation of cloud-delivered network security and AI infrastructure security. In this role, you will define and execute product strategy for managed firewall and network security offerings across major cloud service providers including Google Cloud, AWS, Microsoft Azure, and Oracle Cloud Infrastructure (OCI), while expanding into emerging NeoCloud and AI Factory environments. You will work at the intersection of next-generation firewalls, cloud networking, managed security services, and AI runtime security. The ideal candidate combines strong technical product management experience with deep knowledge of cloud and network security, and can translate emerging AI infrastructure requirements into scalable products and services.

Requirements

10+ years of relevant experience in Product Management, Engineering, Solution Architecture, or a related technical role, with significant experience in enterprise networking, cybersecurity, or cloud infrastructure.
Deep understanding of next-generation firewall and network security concepts, including routing, traffic insertion, stateful inspection, threat prevention, application identification, SSL/TLS inspection, segmentation, and high availability.
Experience working directly with one or more major cloud service providers such as AWS, Azure, Google Cloud, or OCI, ideally involving cloud networking, security services, OEM integrations, or partner engineering.
Strong understanding of cloud networking architectures, including VPC/VNet networking, routing, load balancing, private connectivity, service endpoints, multi-AZ deployment, APIs, IAM, and infrastructure-as-code.
Experience defining or delivering SaaS, managed cloud services, cloud-native firewalls, or Firewall-as-a-Service products.
Strong understanding of modern AI infrastructure and application architectures, including LLM inference, AI agents, APIs, RAG, model endpoints, AI gateways, and distributed AI workloads.
Familiarity with major AI platforms such as AWS Bedrock, Azure AI Foundry, Google Vertex AI/Gemini, or similar platforms.
Ability to understand AI security challenges such as prompt injection, model and agent abuse, data leakage, insecure tool access, and vulnerabilities in AI infrastructure.
Proven ability to lead customer discovery, define product requirements, influence engineering teams, and drive products from concept through launch and adoption.
Strong communication skills with the ability to operate effectively with engineering leaders, strategic partners, customers, field teams, and executives.

Nice To Haves

Experience with NeoCloud, AI Factory, GPU Cloud, or accelerated-computing environments.
Familiarity with NVIDIA GPUs, BlueField DPUs/SmartNICs, Kubernetes, accelerated networking, and distributed inference architectures.
Experience with OEM, embedded security services, marketplace, or consumption-based cloud business models.
Experience securing AI workloads through network intercept, API intercept, AI gateways, or service-insertion architectures.
Hands-on experience building prototypes or technical mockups using generative AI development tools.

Responsibilities

Own the product strategy and roadmap for cloud-delivered and managed network security offerings across hyperscalers, NeoClouds, and AI infrastructure environments.
Build strong product and technical relationships with Google Cloud, AWS, Azure, OCI, and emerging AI infrastructure providers, translating partner requirements into scalable product capabilities.
Define product requirements for cloud-native and managed firewall services, including traffic insertion, routing, high availability, elastic scaling, policy distribution, telemetry, lifecycle management, and operational automation.
Drive security architectures for AI Factories, GPU clusters, NeoClouds, and AI-native applications, including north-south, east-west, workload-to-workload, model, agent, and inference traffic.
Shape the convergence of network security and AI runtime security, including protection for prompts, responses, APIs, model access, agent communication, and tool interactions.
Lead customer discovery and design-partner engagements with enterprises, cloud providers, and AI infrastructure companies to identify emerging requirements and validate product direction.
Develop clear PRDs, technical requirements, success metrics, and acceptance criteria in close partnership with engineering and architecture teams.
Partner with Product Marketing, Sales, Business Development, and cloud-provider teams on positioning, pricing, packaging, marketplace strategy, and go-to-market execution.
Analyze competitive and technology trends across cloud networking, firewall-as-a-service, AI security, GPU infrastructure, and AI networking to identify new product opportunities.
Use AI-native development tools to rapidly create prototypes, mockups, API concepts, and workflow demonstrations to validate ideas before significant engineering investment.