Principal Product Manager, AI Platforms (GTM Excellence)

Palo Alto Networks•Santa Clara, CA
•$150,300 - $243,100•Remote

About The Position

Palo Alto Networks is seeking a strategic, technically strong Principal Product Manager for its GTM Excellence team. The role will build, maintain, and scale a portfolio of AI applications that accelerate readiness for go-to-market (GTM) teams. The initial focus includes an AI Roleplay application, with additional concurrent use cases planned. The position combines AI, learning, and GTM strategy, requiring deep AI literacy, value-selling knowledge, and program management across enterprise-wide rollouts. The product manager will define and drive a multi-year roadmap for multiple AI tools, own their end-to-end lifecycle, and partner with platform owners on technical and functional capabilities. The role also leads cross-functional program execution among Learning, IT, and GTM leadership; develops and optimizes prompts for underlying large language models; coordinates enterprise testing and quality assurance; and uses usage data and user feedback to guide product improvements. The position serves as a quality and consistency steward across AI initiatives, supports executive reporting, and mentors others in program management. The role is remote. Compensation is listed as $150,300 to $243,100 per year; offers may also include restricted stock units and a bonus. Immigration sponsorship is not available for this position.

Requirements

  • 8–10+ years of experience with a strong technical background in Systems Management, Product Management, or technical Program Management.
  • Extensive experience leading enterprise-wide technology initiatives.
  • Deep understanding of the seller experience, sales methodologies, and value-selling principles.
  • High AI literacy and expertise in Generative AI, LLMs, AI Agents, and prompt-engineering concepts.
  • Highly technical ability to communicate with enterprise systems architects.
  • Proven ability to advise VP- and C-level stakeholders and translate complex technical updates into clear, actionable executive messaging.
  • Demonstrated success architecting and managing complex, multi-phase technology rollouts while tracking day-to-day operational details.
  • Proven ability to manage, influence, and align cross-functional stakeholders at all levels in a complex matrixed environment.
  • A data-driven approach and experience translating user feedback and platform analytics into actionable product decisions.

Nice To Haves

  • Familiarity with the broader GTM technology stack and Learning Management Systems.
  • Experience in an enterprise technology environment.
  • Previous experience developing or managing enablement, coaching, or training programs.

Responsibilities

  • Define, maintain, and drive the multi-year strategic roadmap for a portfolio of concurrent GTM AI tools.
  • Prioritize capabilities based on business impact, align them with value-selling principles, and prepare executive-level collateral to inform senior leadership decisions.
  • Own the build, maintenance, and scaling of AI platforms, partnering with platform owners on technical and functional roadmaps and assessing system architecture changes and large-scale feature requests.
  • Lead cross-functional program execution between Learning, IT, and GTM leadership; track deliverables, maintain momentum, and coordinate predictable updates for platform features and pilot programs.
  • Design, test, and refine prompt structures for underlying LLMs to produce relevant, accurate, valuable outputs for real-world sales challenges.
  • Establish standardized guardrails and coordinate enterprise testing and quality assurance before launches.
  • Evaluate usage metrics, adoption trends, and user feedback, and translate findings into actionable recommendations to improve user experience.
  • Ensure quality and consistency across AI initiatives and provide comprehensive, dynamic reporting dashboards for executive stakeholders.
  • Mentor others to improve program management maturity across the organization.

Benefits

  • Compensation may include restricted stock units and a bonus.
  • The job posting refers candidates to a separate description of employee benefits but does not list specific benefits.
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