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Sr Product Manager - AI (Cortex XSIAM)

Palo Alto Networks

Tel Aviv, Tel-Aviv District, IsraelOn Site

Original Job Summary

Company Overview

Palo Alto Networks is committed to being the cybersecurity partner of choice, protecting our digital way of life with disruptive innovation and diverse ideas.

About Cortex XSIAM

Cortex XSIAM is the fastest-growing product in cybersecurity. The role offers a chance to work on an AI-driven security platform that transforms security operations by integrating endpoint, network, and cloud data.

Your Role as Sr Product Manager - AI (Cortex XSIAM)

  • Lead Gen-AI capabilities and become an AI subject matter expert.
  • Own the product lifecycle from ideation to rollout.
  • Gather user feedback, define issues, and prioritize feature development.
  • Collaborate with research, engineering, and UX/UI teams to design enterprise-grade features.
  • Drive market research, competitive analysis, and define KPIs for continuous improvement.

Qualifications

  • 5+ years of product management in cybersecurity/technical B2B SaaS.
  • Strong technical background in security, data and cloud technologies.
  • Experience with AI/ML models and incorporating LLM-based features in products.
  • Excellent collaboration, analytical, and communication skills.

Additional Information

This role is part of a high-performing team dedicated to transforming security operations. Palo Alto Networks values diverse teams, continuous learning, and innovative problem solving. Reasonable accommodations are provided to individuals with disabilities.

Key skills/competency

  • Cybersecurity
  • AI/ML
  • Product Lifecycle
  • Cloud Technologies
  • Data Analysis
  • Security Operations
  • User Experience
  • Cross-functional Collaboration
  • Market Research
  • KPIs

How to Get Hired at Palo Alto Networks

🎯 Tips for Getting Hired

  • Research Palo Alto Networks: Understand mission, values, and cybersecurity innovations.
  • Customize your resume: Highlight product management and AI experience.
  • Network strategically: Connect with current employees on LinkedIn.
  • Prepare for interviews: Review AI, cloud, and security trends.

📝 Interview Preparation Advice

Technical Preparation

Review AI/ML model integrations.
Study cloud and security architectures.
Brush up on data analytics techniques.
Understand product lifecycle tools.

Behavioral Questions

Describe cross-team collaboration examples.
Explain handling product challenges.
Share experience with rapid decision-making.
Discuss feedback integration approaches.