Principal Intelligence Analyst – Automation & SOC AI; Cortex Agentix
Listed on 2026-02-17
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IT/Tech
AI Engineer, Data Analyst
Location: California
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
WhoWe Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values:
Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us!
This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.
Job Summary Your CareerAs the Principal for Competitive Intelligence Analyst focused on Automation and AI, you are the strategic lead for the most rapidly evolving segment of the Cortex portfolio. Sitting within the Product Management organization, you will lead Competitive Strategy for our Automation and AI‑driven security initiatives. Your mission is to move beyond the "AI hype" by applying Structured Analytic Techniques (SATs) to technical competitive evidence.
You will ensure that our roadmap for the "Autonomous SOC" is grounded in reality and that our field teams can effectively dismantle competitor claims regarding AI‑led security operations.
- 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.
- 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 (Lang Chain, etc.) and how they are…
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