Job Description:
• Apply SATs (such as Alternative Futures Analysis ) to forecast the evolution of AI in the SOC.
• You will identify "Signposts" for competitor moves into Generative AI, LLM-based triage, and low-code/no-code automation to guide our long-term R&D.
• Bridge the gap between deep research results and PM by conducting deep-dive technical validations of competitor AI claims.
• You will separate "Marketing AI" from "Functional AI" to identify where PANW has a structural advantage in model efficacy and data gravity.
• Partner with the Enablement Lead to create "Kill" campaigns specifically targeting legacy SOAR vendors and emerging "AI-first" startups.
• You define the "Inconvenient Truths" regarding competitor playbooks, integration fragility, and AI hallucinations.
• Perform deep-dive assessments of competitor "copilots" and automation engines.
• You will identify where our automation "moat" is shrinking and prioritize feature gaps that reduce "Mean Time to Respond" (MTTR) for our customers.
• Lead post-mortems on high-stakes automation deals.
• You will translate findings into actionable Product Requirement Documents (PRDs) that address technical friction in how customers build and scale security playbooks.
Requirements:
• 8+ years in CI, Product Management, or Technical Research with a focus on Security Orchestration (SOAR), AI/ML, or SOC automation.
• You understand the difference between a heuristic and a transformer model.
• You must be able to prove competitive claims through rigorous methodology like Analysis of Competing Hypotheses (ACH).
• Proven mastery in distilling high-density technical data (e.g., API capabilities or model training sets) into concise, high-impact "Bottom Line Up Front" briefings for busy Product and Executive leaders.
• You can evaluate a competitor’s "AI Copilot" and understand the downstream implications for data privacy, cost-to-serve, and analyst fatigue.
• You must be comfortable challenging the "AI hype" internally, delivering objective, evidence-based reports on where we are leading or lagging in the automation race.
• Prior experience in Product Management for an AI-centric or Automation-heavy security product is a significant plus.
• Familiarity with LLM frameworks (LangChain, etc.) and how they are being integrated into security workflows.
• Deep understanding of the "Analyst Experience"—knowing exactly where automation succeeds or fails in a high-pressure SOC environment.
• SCIP/CIP or similar strategic intelligence certification.
Benefits:
• A description of our employee benefits may be found here.