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Palo Alto Networks

Staff Customer Success Engineer - Prisma AIRS

England
Posted about 17 hours ago
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Staff Customer Success Engineer – Prisma AIRS

Job Summary

As a Staff Enterprise Customer Success Engineer (CSE) for the Prisma AIRS team, you will redefine Customer Success by shifting focus from task-driven execution to high-impact, insight-driven strategy. Operating as a principal strategic advisor and lead AI Architect, you will spearhead our most complex, high-value global enterprise accounts where application security, data security, and the AI ecosystem intersect.

In this staff for technical role, you will architect scalable security solutions, pioneer the adoption of Prisma AIRS, and command relationships with executive leadership (CISOs, CTOs, and CIOs) to ensure automated security workflows deliver massive business value, quantifiable ROI, and proactive risk mitigation.

Key Responsibilities

  • Enterprise Architecture & Technical Leadership
    • Serve as the lead technical authority, architecting and deploying complex, scalable security solutions across global client environments.
    • Translate intricate enterprise business demands into robust technical blueprints.
    • Provide masterful technical expertise in Prisma AIRS, driving capacity planning, technology lifecycle governance, and seamless upgrades within mission-critical infrastructure.

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  • Strategic AI Adoption & Guardrails

    • Guide Fortune 500 enterprises on embedding intelligent agents and automated security frameworks directly into core product workflows.
    • Systematically evaluate client AI adoption maturity and direct complex cross-functional teams to align vendor innovations with overarching enterprise business goals.
  • Proactive Churn Mitigation & Business Impact

    • Champion predictive data analytics and operational metrics to evaluate customer environment health, intercept operational risks before they manifest, and aggressively eliminate churn vectors.
    • Design and spearhead high-impact Executive Business Reviews (EBRs) that synthesize deep technical health metrics into high-level business outcomes.
  • Strategic Escalation & Product Advisory

    • Act as the ultimate technical escalation point for critical production environments.
    • Partner aggressively with Product Management, Core Engineering, and Sales leadership to champion enterprise customer requirements, influence product roadmaps, and co-develop next-generation use cases.

Experience & Profile

  • 5+ years of experience as a Staff/Senior/Lead Customer Success Engineer, Solutions Architect, Senior DevOps Engineer, or Technical Consultant within the application security, network, or data security domains.
  • Proven track record of managing technical success and engineering outcomes for massive, high-profile enterprise client portfolios.
  • Direct expertise in data/information security, advanced API orchestration, and a sophisticated operational command of the AI ecosystem, agentic deployments, and LLM vulnerabilities.

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Technical Skills

  • Deep hands-on background in modern application development, software development lifecycles (SDLC), and advanced software-defined networking concepts.
  • Advanced mastery of AI automation platforms and agentic developer tools (such as Claude Code) to build, optimize, and customize secure enterprise integrations.

Executive Presence & Strategic Insight

  • Exceptional verbal, written, and presentation skills, with a demonstrated genius for articulating complex security architecture blueprints to both deep engineering groups and C-suite leadership (CISOs, CTOs, CIOs).
  • Advanced proficiency utilizing data-driven enterprise platforms (e.g., Salesforce, JIRA, Gainsight, Tableau) to engineer account health predictive models and neutralize renewal risks.

Travel

  • Occasional travel in EMEA to lead high-stakes, on-site strategic client deployments and enterprise rollouts.
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Skills

Enterprise Architecture
AI Architecture
Application Security
Data Security
API Orchestration
LLM Vulnerabilities
SDLC
Software-Defined Networking
AI Automation Platforms
Executive Presentation
Predictive Data Analytics
Capacity Planning
Technology Lifecycle Governance
Customer Success Engineering
Strategic Advisory
Risk Mitigation

Location

England, United Kingdom

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