Senior Product Manager - Business Applications AI

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.

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.

Key Responsibilities: Enterprise AI Roadmap: Own and prioritize an AI-powered roadmap tailored to business applications across Sales (CPQ/Lead-to-Cash), Licensing/Entitlements, Finance (Revenue/Billing), Support (Agent Efficiency/TSE workflows), Customer Success (Retention/Adoption), or BI & Data Analytics. Cross-Functional Workflow Automation: Partner with business leaders to identify manual bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys (e.g., Quote-to-Cash, License Provisioning, Financial Reconciliation, Ticket Deflection, Health Scoring, and Data-Driven Insights). Implementation Prototyping: Use AI-native tools (Cursor, Lovable, low-code platforms) to build and iterate on functional prototypes ("vibe-coding") that validate how AI agents interact with standard and proprietary enterprise APIs before handing off to Engineering. Operational Standards & Trust: Define 'Error Budgets', accuracy guardrails, and compliance standards for AI outputs within business-critical systems, ensuring data privacy, financial integrity, brand voice, and system governance. Golden Set & Telemetry Curation: Create and version-control "Golden Sets"—definitive datasets derived from internal enterprise data, logs, financial records, and customer telemetry—to grade AI model performance in real-world business scenarios.

Minimum Qualifications Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience in Product Management for Enterprise Applications, Business Systems, or Data/BI Architecture. Domain Expertise: Proven track record of delivering high-impact features within one or more core enterprise domains: Sales & Revenue Ops: Salesforce CRM, CPQ, Lead-to-Cash, Partner Ecosystems. Licensing & Entitlements: Software provisioning, entitlement management, usage tracking. Finance & ERP: SAP, Workday Financials, Billing, Revenue Recognition. Customer Support: Salesforce Service Cloud, Case Routing, Agentic Support workflows. Customer Success: Gainsight, Onboarding, Retention, Customer Health frameworks. Business Intelligence & Data: Data warehousing (Snowflake, Databricks), BI visualization, Data Pipeline Governance. Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into functional prototypes in a constrained environment, using that artifact to validate requirements and reduce ambiguity for Engineering. AI Application: Deep understanding of LLM mechanics and constraints (context windows, hallucinations, RAG architectures, Agentic workflows) specifically as they relate to enterprise business processes.