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Principal Product Manager - Business Applications AI at Palo Alto Networks Unit 42 · Santa Clara, CA · Joined
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Principal Product Manager - Business Applications AI

Palo Alto Networks Unit 42 · Santa Clara, CA · Just now · 0 applicants
NewOn-siteFull-timeLead
Pay
$164k–$266kListed
Workplace
On-site
Job type
Full-time
Level
Lead
Team: Business Applications AI · Source: jobright · Posted by joined-scrapper

About the role

Palo Alto Networks Unit 42 seeks a Principal Product Manager to lead an AI-powered roadmap for enterprise business applications, automating workflows and prototyping AI solutions. The role requires deep expertise in LLM, RAG, and agentic architectures across platforms like Salesforce, Workday, and SAP.

What you’ll do

  • Own the AI-powered roadmap for enterprise business applications
  • Automate cross-functional workflows
  • Prototype AI solutions using generative AI tools
  • Define operational standards for AI adoption
  • Curate datasets to evaluate AI performance
  • Validate requirements with Engineering through functional prototypes

What you’ll need

  • 12+ years of product management in enterprise applications, business systems, or data/BI architecture; or 8 years with Master's, or 5 years with PhD
  • Hands-on experience building functional prototypes, code snippets, or mock UIs with generative AI and no-code/low-code platforms
  • Expertise in full SDLC including Agile/Scrum, backlog grooming, sprint planning, and user stories
  • Experience conducting Voice of Customer interviews and customer discovery in complex B2B environments
  • Deep understanding of LLM mechanics, constraints, RAG architectures, and agentic workflows
  • Platform experience with Salesforce AI, Workday Extend, SAP BTP, Gainsight, or cloud data stacks

Original job description

Palo Alto Networks is a cybersecurity company focused on protecting the digital way of life through innovation and AI. The Principal Product Manager will own an AI-powered roadmap for enterprise business applications, automate cross-functional workflows, prototype AI solutions, define operational standards, and curate datasets to evaluate AI performance.…

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