AI-First IT Product Manager: Enterprise Implementation ...

Our Mission At Palo Alto Networksu00ae, weu2019re united by a shared missionu2014to 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 youu2019re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youu2019re 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. Thatu2019s why most of our teams work from the office full time, with flexibility when itu2019s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Team Statement This is a Unified Application for our AI-First IT Transformation portfolio. We recognize that top-tier AI talent often has skills that span multiple domains. By applying here, your profile is evaluated by our core IT strategy team for multiple high-impact leadership and technical roles powering the entire enterprise, ensuring we find the right home for your specific expertise. Qualifications Key Responsibilities + Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, SAP, Workday) and internal business process automation. + Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, Sales, and Marketing applying AI to automate complex Lead-to-Cash and Hire-to-Retire processes. + Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs. + Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained. + Golden Set Curation: Create and version-control

Created: 2026-03-09