Manager, Domain Consulting – AI Security

🔥 22 minutes ago

🏄 California, Colorado, +3 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🤠 Texas – Remote

💵 $224k - $308k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Palo Alto Networks

WebsiteLinkedInAll Job Openings

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 Description

• Recruit, coach, and retain a high-performing team of Domain Consultants; provide mentorship, career development, and technical enablement. • Set the strategy and standards for hands-on Proof of Value (PoV) and technical validation engagements across the team. • Align technical resources to theater and regional sales priorities and forecast technical wins. • Aggregate real-world field feedback and partner directly with Product Management and Engineering. • Guide discussions on emerging AI threats and model vulnerabilities.

🎯 Requirements

• 8+ years of pre-sales or solutions experience in AI Security, Cloud Security, Application/API Security, or DevSecOps, including 2+ years in a people-leadership or team-lead capacity. • Proven ability to hire, coach, and develop technical pre-sales talent and build high-performing, collaborative teams. • Strong working knowledge of LLM APIs, scripting, and agentic workflows across cloud-native platforms (AWS, Azure, GCP, K8s) and REST APIs—sufficient to guide and validate the team’s technical work. • Deep knowledge of AI Runtime Security, Generative AI risks (Prompt Injection, Goal Hijacking), AI Agent/MCP governance, and AI-focused Data Loss Prevention (DLP). • Demonstrated success partnering with sales leadership to build pipeline, forecast accurately, and drive complex enterprise deals to close. • Exceptional ability to translate complex AI architectures (RAG, agentic workflows, model orchestration) into clear business outcomes for C-level executives and technical practitioners alike. • Willingness to travel as needed for key in-person customer meetings, team engagements, and field events. • Proficient in English.

🏖️ Benefits

• A description of our employee benefits may be found here.