Drimva

Palo Alto Networks

Director, IT Product Management CX, AI

$234K–$321K

Office - USA - CA - Headquarters · No · Director · Full-time · Posted Sep 30, 2026

Experience
10+ years in Product Management; 7+ years in senior leadership roles.
Education
Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field required; MBA or advanced degree preferred.
Visa sponsorship
Immigration sponsorship: Yes.

About the job

Leads the AI product strategy and team for enterprise customer experience, licensing, provisioning, entitlement, consumption management, and new product introduction applications.

What you'll do

  • Own the product vision, strategy, roadmap, and lifecycle across the CX, NPI, licensing, and provisioning portfolio.
  • Lead and develop Application Product Managers and align executive and cross-functional stakeholders on strategic initiatives.
  • Drive AI-enabled customer support, process transformation, analytics, and scalable product delivery.

What they ask for

  • 10+ years in Product Management, including building and launching enterprise software products, 0-to-1 development, AI-native applications, and complex SaaS platforms.
  • 7+ years in senior leadership overseeing Product Manager teams and strategic portfolios.
  • Hands-on experience building AI-native products with AI-assisted development tools; expertise in generative AI, agentic AI, LLMs, RAG, AI agents, and intelligent automation.
  • Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field.

Nice to have

  • Experience with Salesforce Service Cloud, Gainsight, or related GTM and CX platforms.
  • MBA or advanced degree in a relevant technical or business discipline.

Pay

$234,100.00 - $321,300.00/yr (USD, base salary)

Tools

Salesforce, Gainsight, Lovable, Cursor, Replit, Claude, APIs, RAG

AI focus

Leads adoption of AI across customer experience products, including building AI-native applications and intelligent support capabilities; work includes generative and agentic AI, LLMs, RAG, AI agents, intelligent automation, and AI-powered enterprise workflows.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)