Technical Training Engineer

About the role

Palo Alto Networks is seeking a Technical Training Engineer to join our team at our Santa Clara headquarters. This role involves leading advanced Cortex workshops and new hire onboarding bootcamps, and developing AI-driven enablement tools.

Responsibilities

• Deliver Advanced Workshops: Lead high-impact, expert-level Cortex workshops and advanced whiteboarding sessions for global internal and external audiences.
• Drive New Hire Onboarding: Own the classroom execution of technical bootcamps, transforming new hires into field-ready security professionals.
• Develop AI-Driven Enablement Tools: Build, prototype, and refine internal AI-driven tools such as automated lab grading agents, custom LLM-based roleplay simulators, and interactive classroom assistants to scale and personalize the onboarding experience.
• Measure & Report AI Efficacy: Track, analyze, and report on the adoption, accuracy, and performance metrics of our AI enablement platforms, providing data-driven insights on how AI tool usage correlates with field readiness and accelerated onboarding.
• Engage & Champion Enablement Programs: Actively collaborate with cross-functional stakeholders and leadership to confidently present, justify, and defend the strategic impact, metrics, and business outcomes of your onboarding and advanced workshop programs.
• Maintain Lab Excellence: Ensure the seamless availability, functionality, and rigorous quality assurance of all hands-on labs and Demostack simulations before delivery.
• Scale Instructor & Peer Readiness: Function as a player/coach by onboarding and mentoring future technical training hires, leading internal Train-the-Trainer programs, and driving readiness for Authorized Training Partners.
• Collaborate on Content: Partner closely with Technical Enablement Architects to provide field feedback, helping optimize technical courseware, lab designs, and certification paths.

Qualifications

• 5+ years of experience delivering technical courseware or equivalent hands-on experience in the cybersecurity industry.
• Hands-on expertise with SIEM, SOAR, and XDR platforms, with deep knowledge of the Palo Alto Networks Cortex stack strongly preferred.
• Hands-on experience building, prompt-engineering, or prototyping AI/LLM-powered workflows (e.g., custom GPTs, API integrations, or automated scripts) to solve learning or operational challenges.
• Demonstrated ability to compile, analyze, and present tool adoption, engagement, and performance metrics to cross-functional stakeholders.
• Command of the classroom: Proven understanding of adult learning principles and a captivating, interactive delivery style.
• Location & Mobility: Must be based out of the Palo Alto Networks Headquarters, with the ability to travel up to 30%.
• Preferred Qualifications: Active certifications in Cortex XSIAM, XSOAR, or XDR, experience with Demostack or similar environment simulation tools, strong scripting and automation skills (Python, REST APIs, LangChain, or similar frameworks), experience in SOC Operations, incident response, or security analytics, experience acting as a lead, peer coach, or player/coach—mentoring, onboarding, or guiding incoming technical trainers or enablement engineers, BS or MS in Computer Science, Cybersecurity, or a related technical discipline.