Principal Product Manager (AI for Network Security)

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Your Career

We are seeking a Product Manager to lead the development and lifecycle management of AI products that can independently operate within predefined domains. This role will involve close collaboration with engineering, research, design, and GTM teams to develop and implement AI systems that can perform  decision-making, task management, and problem-solving across our Network Security Platform - Strata Cloud Manager.

As Network Security AI PM, You will be responsible for driving the vision, strategy, and execution for the next gen network security platform,  defining product requirements, identifying opportunities, and ensuring responsible AI practices are followed. This role requires deep knowledge of Network Security, Automation, Machine learning, and product management, along with a passion for shaping the future of how NetSec admins do things.

Your Impact

• Product Vision & Strategy 
  • Define and articulate the product vision and roadmap for AI system applications in Network Security, aligning with company goals and customer needs
  • Conduct market research to identify trends in  AI and competitive landscape, ensuring the product remains innovative and competitive
  • Collaborate with stakeholders to prioritize features, balancing user needs, technical feasibility, and business impact
• Requirements Gathering & Documentation
  • Translate business goals and customer problems into product requirements, focusing on autonomy, self-learning capabilities, and task delegation features
  • Create detailed specifications and user stories that describe desired AI behaviors, decision-making protocols, and scope of independence
  • Work with engineering and data science teams to refine requirements, ensuring technical feasibility and responsible AI practices
• Cross-functional Collaboration  
  • Partner with AI research, engineering, and design teams to guide the development of product features that enable NetSec admins to operate efficiently
  • Collaborate with legal, ethical, and compliance teams to establish safety, ethics, and transparency standards for  AI behavior
  • Coordinate with product marketing to position and launch  AI products in a way that highlights their value and safe use
• Performance Monitoring & Optimization 
  • Define and monitor KPIs for AI agent performance, including decision accuracy, task completion rates, and user engagement
  • Analyze product data and feedback to iteratively improve behavior, automation, and alignment with user expectations
  • Use A/B testing, analytics, and user feedback to continuously refine  decision-making frameworks and responsiveness
• Ethics & Responsible AI Practices 
  • Implement robust testing to ensure AI system operate responsibly and align with ethical standards, avoiding harmful or biased behaviors
  • Develop contingency plans for