Enterprise Customer Success Engineer – Prisma AIRS

Palo Alto Networks

Enterprise Customer Success Engineer on the Prisma AIRS team shaping insights-driven strategies for clients. Implementing AI security solutions and driving engagement for critical enterprise accounts.

Posted 7/14/2026full-timeDallas • California, New York • 🇺🇸 United StatesJuniorMid-Level💰 $112,000 - $182,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, secure solutions within client environments, with a strong focus on AI automation tools and data security. Proven ability to translate complex business requirements into technical solutions while advocating for customer success and managing high-pressure escalations.

Highest-signal resume keywords

Customer Success EngineeringAI Automation ToolsData SecurityTechnical CommunicationEnterprise Predictive Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentSoftware Development LifecycleNetworking ConceptsAPI InterpretationAI Ecosystem Understanding

Soft Skills

Verbal CommunicationWritten CommunicationCustomer AdvocacyCollaboration

Tools & Technologies

SalesforceJIRAGainsightTableau

Industry Keywords

CybersecurityNetwork SecurityData SecurityAI SecurityEnterprise Business Reviews

Tech Stack

Tools & technologies

Cyber SecurityTableau

About the role

Key responsibilities & impact

Act as a technical Customer Success Engineer, designing and implementing scalable, secure solutions within client environments.
Translate enterprise business requirements into technical layouts.
Provide deep technical expertise in Prisma AIRS, assisting with capacity planning, lifecycle management, and upgrade processes in mission-critical environments.
Embed intelligent agents and automated security features directly into the customer's daily workflows.
Monitor how effectively clients adopt AI-powered features and guide them on aligning Palo Alto Networks' technologies with complex enterprise goals.
Leverage enterprise predictive analytics and configuration metrics to continuously analyze customer usage, flag risks before they manifest, and proactively prevent churn.
Lead impactful Quarterly/Executive Business Reviews (QBR/EBR) focused on business outcomes.
Serve as the core technical contact managing high-pressure escalations.
Collaborate closely with internal Product, Sales, and Engineering teams to influence product roadmaps based on strategic customer deployments and innovative new use cases.

Requirements

What you’ll need

2+ years of experience as an Enterprise Customer Success Engineer or Customer Support Engineer within the network/cybersecurity domain, OR exposure as a DevOps/Solution Architect, with a distinct preference for individuals who have supported AI security, network, or data security products.
Direct experience with data/information security, interpreting API reference documentation, and a strong, practical understanding of the AI ecosystem, agentic deployments, and LLM vulnerabilities.
Strong hands-on experience with application development, software development lifecycle and general networking concepts.
Strong foundation in AI automation tools such as Claude Code to customize integrations.
Exceptional verbal and written communication skills with a proven track record of fierce customer advocacy and presenting complex architectural concepts to high-level audiences.
Proven ability to interact with client teams at varying depths, from engineering staff to business owners.
Proficiency using data-driven enterprise tools such as Salesforce, JIRA, Gainsight, or Tableau to track account health and mitigate risks.

Benefits

Comp & perks

Restricted stock units
Bonuses