Principal AI Product Manager, Enterprise AI

Our Mission

At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

The Team

Information Technology - To stay ahead of the curve, it's critical to know where the curve is and how to anticipate the changes we're facing. For the fastest-growing cybersecurity company, the curve is the evolution of cyberattacks and the products and services that proactively address them. Our Product Management team helps us do just that. This team provides the behind-the-scenes support for our products by being a source of information for our Systems Engineers, staying on top of the environment we sell in and helping to implement technical solutions based on our clients' feedback and needs. As threats and technology evolve, we stay ahead to accomplish our mission.

Job Summary

We are seeking a visionary and hands-on Principal Product Manager to lead our Vertical AI strategy, re-imagining core business workflows in Marketing, Sales, Legal, and Finance from the ground up. In this role, you will move beyond generic AI additions to build high-value, domain-specific solutions that directly impact the company's bottom line. You will combine classical product management rigor with AI-native speed, rapidly building functional prototypes to prove concepts and using rigorous frameworks to focus on high-impact use cases that pass feasibility checks for stakes, accuracy, and economics.

Key Responsibilities

• Own, build, and maintain a prioritized 12-month product roadmap that balances quick wins with long-term strategic bets, translating stakeholder requests into concrete, actionable epics.
• Serve as the primary liaison between technical engineering and non-technical business leaders, translating complex AI concepts into business risk and effectively managing stakeholder expectations.
• Develop and execute go-to-market strategies and change management plans, creating launch materials and training guides to ensure successful user adoption of new AI tools.
• Rapidly build and iterate on functional prototypes using AI-native tools (e.g., Replit, Cursor, no-code builders) to validate process fit and user experience before committing full engineering resources.
• Utilize prompt engineering in playground environments to test the feasibility of AI solutions, ensuring only viable concepts are added to the engineering roadmap.
• Define and own the Product Requirements Document (PRD), establishing rigorous, non-negotiable standards for production such as 'Error Budgets' and 'Golden Sets'.
• Create, curate, and version-control the 'Golden Set'-a definitive dataset of inputs and ideal outputs-to scientifically grade and validate AI model performance.

• Bachelor's degree with 12+ years of relevant experience, or Master's degree with 8+ years of relevant experience, or PhD with 5+ years of relevant experience in Product Management.
• Mandatory hands-on experience building functional prototypes, code snippets, or mock UIs using generative AI tools and no-code/low-code platforms.
• Expertise in the full software development lifecycle (SDLC), including Agile/Scrum methodologies, backlog grooming, sprint planning, and writing high-quality user stories.
• Deep understanding of large language model (LLM) capabilities and constraints, including context windows, latency, hallucination rates, and when to apply RAG vs. fine-tuning.
• Proven experience conducting 'Voice of Customer' interviews and customer discovery in complex B2B environments such as Legal, Finance, or Sales.

• A 'Maker' attitude with a portfolio of projects or artifacts built to demonstrate ideas.
• Track record of shipping complex enterprise software products from concept to launch (0-to-1).
• Experience defining a North Star metric and instrumenting products to track key business outcomes like adoption, retention, and ROI.
• Experience managing and curating 'Golden Datasets' for AI/ML model evaluation and acceptance testing.