Sr Principal IT Product Manager, AI Solutions G&A

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.

• Business Strategy & Strategic Mindset: Define and champion a bold, AI-first product vision and strategic roadmap for the Enterprise AI Platform. You will use professional concepts to develop resolutions to critical issues and broad design matters, ensuring the platform's alignment with broader organizational business strategy. This includes collaborating with G&A leadership to identify areas where AI can drive financial forecasting accuracy, optimize human resources operations, or streamline legal contract review processes.
• Business Insight & Focuses on the Customer: Act as a strategic partner to business leaders across G&A functions, identifying high-impact opportunities for AI and automation. Cultivate deep empathy for your internal customers by doing the research to develop insight into their needs, ensuring solutions are user-driven and deliver tangible value. For example, you will work directly with the Finance team to understand their pain points in quarterly reporting or close processes, work with the Legal team to pinpoint inefficiencies in intellectual property management, or partner with Talent Acquisition to understand opportunities in driving significant efficiencies in the hiring process.
• Drives Results & Problem Solving: Champion an outcome-driven approach by defining clear success criteria, metrics, and dashboards that measure business value, efficiency, and impact. You will identify problems, critically review data, and determine root causes to provide multiple, practical solutions, consistently pushing yourself and others to achieve challenging goals. In the Finance domain, a key metric might be a 50% reduction in the quarterly close cycle time. For HR, it could be a 40% improvement in time-to-hire through AI-powered candidate screening.
• Adapts & Collaboration and Influence: Thrive in a fast-paced environment with significant unknowns and ambiguity. You'll use critical thinking and effective problem-solving skills to navigate challenges, make sound decisions, and maintain a relentless focus on delivering business value and results. You will also willingly work with others, addressing competing priorities and motivating change through effective communication and negotiation. This includes working with the G&A functions to develop responsible AI policies and ensure AI solutions are built with ethical considerations.
• Product Acumen & AI/ML Expertise: Apply deep expertise in AI, automation, MLOps, LLMs, and Generative AI to identify the right platform technologies and capabilities for enabling impactful use cases across enterprise functions. This includes understanding how technical concepts should be integrated into product requirements for areas like data pipelines, model training infrastructure, and responsible AI tooling.
• Communicates & Stakeholder Engagement: Excel in communication by delivering impactful technical presentations and authoring documents with extreme clarity to articulate platform strategy, value proposition, and progress. You will serve as a spokesperson for the organization and create formal networks with key decision-makers. You will also communicate product decisions clearly, ensuring all teams are aligned. This will involve presenting AI strategy to senior leaders in Finance, People & Legal functions demonstrating strong execution discipline in delivering AI-driven outcomes.

• 15+ years of related experience with a Bachelor's or Master's or a PhD degree
• Minimum 10+ years of product management experience, with a significant 3-5 years of G&A domain-specific experience launching and scaling core AI/ML solutions in an enterprise environment.
• A proven track record of using AI to transform G&A functions like Finance, HR, or Legal.
• Experience in identifying and prioritizing AI solutions that drive financial ROI and operational efficiency in a corporate G&A environment.
• Proven success in managing the entire Product lifecycle, including ideation, incorporating internal user feedback into requirements, driving prioritization, and leading pre/post-launch execution with measurable impact on business outcomes and value.
• Demonstrated strategic mindset, strong business acumen and unconstrained thinking in disrupting technology.
• Strong technical background in AI/ML, well-versed in LLMs, Generative AI concepts, MLOps principles, and their practical application in building scalable platform services.
• Extensive experience working in a fast-paced, technical environment, leading broad, cross-functional teams to define product vision, crystalize requirements, and guide projects through key milestones.
• Demonstrated ability to partner with non-technical G&A stakeholders to co-create AI solutions.
• Exceptional ability to manage ambiguity and unpredictability inherent in the AI/ML domain, demonstrating enthusiasm, adaptability, and resilience in a constantly evolving, fluid environment. This demonstrates an ability to adapt quickly and effectively.
• Outstanding communication and interpersonal skills, with experience delivering compelling technical presentations, authoring clear and concise documentation, and effectively engaging with both technical and non-technical audiences at all levels.
• A proactive, team-oriented individual with a "can-do" attitude and a strong curiosity that fuels continuous learning in the rapidly evolving AI and enterprise technology landscape.