Principal AI Product Manager, Enterprise AI

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$164,000–$266,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $215k
$152k most similar roles pay here $278k

This role pays more than 51% of similar roles. Most pay $188,512–$259,000 — the shaded band above. At the midpoint, this role pays about $215k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 40 open roles on FindRole.

Listed pay typically runs $164,000–$266,000 across 38 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Principal AI Product Manager, Enterprise AI

As a Principal AI Product Manager, Enterprise AI, you will join the Information Technology team to lead the Vertical AI strategy by reimagining core business workflows in Marketing, Sales, Legal, and Finance. You will be responsible for building and maintaining a prioritized 12-month product roadmap, translating stakeholder requests into actionable epics while serving as the primary liaison between technical engineering and non-technical leaders. Your daily work involves developing go-to-market strategies, creating training guides, and rapidly prototyping functional solutions using AI-native tools like Replit, Cursor, and no-code builders. You will utilize prompt engineering to test feasibility and manage Product Requirements Documents featuring error budgets and golden sets. The role requires expertise in the full software development lifecycle, Agile methodologies, large language model capabilities, RAG versus fine-tuning, and conducting customer discovery in complex B2B environments.

What you'll do

  • Develop and maintain a 12-month product roadmap that balances quick wins with long-term strategic goals.
  • Translate complex AI concepts into business risks and manage expectations between technical teams and non-technical leaders.
  • Build and iterate on functional prototypes using AI-native tools to validate process fit before full engineering commitment.
  • Perform prompt engineering in playground environments to test the feasibility of AI solutions for the roadmap.
  • Define Product Requirements Documents (PRDs) that establish strict standards for error budgets and performance metrics.
  • Create and manage "Golden Sets" of data to scientifically grade and validate AI model performance.
  • Execute go-to-market strategies and change management plans to ensure successful user adoption of new tools.

What we're looking for

  • Bachelor’s degree with 12+ years of experience, Master’s with 8+ years, or PhD with 5+ years in Product Management.
  • Hands-on experience building functional prototypes, code snippets, or mock UIs using generative AI tools and no-code/low-code platforms.
  • Expertise in the full software development lifecycle (SDLC), including Agile/Scrum methodologies and backlog grooming.
  • Deep understanding of large language model (LLM) capabilities, constraints, and RAG vs. fine-tuning applications.
  • Proven experience conducting 'Voice of Customer' interviews and customer discovery in complex B2B environments like Legal, Finance, or Sales.
  • A 'Maker' attitude with a portfolio of projects or artifacts built to demonstrate ideas (preferred).
  • Track record of shipping complex enterprise software products from concept to launch (0-to-1) (preferred).
  • Experience defining North Star metrics and managing 'Golden Datasets' for AI/ML model evaluation (preferred).

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