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Palo Alto Networks

Builds cybersecurity tools for organizations

Principal AI Product Manager - Enterprise AI

Product ManagementUpdated on Nov 10
Full-timeCalifornia, USA

About the Job

Requirements

  • A bachelor's degree with 12 or more years of relevant Product Management experience, a master's degree with 8 or more years, or a PhD with 5 or more years.
  • Hands-on experience building functional prototypes, code snippets, or mock user interfaces using generative AI tools and no-code or low-code platforms.
  • Expertise in the full software development lifecycle, including Agile/Scrum methodologies, backlog grooming, sprint planning, and writing high-quality user stories.
  • Deep understanding of large language model capabilities and constraints, including context windows, latency, hallucination rates, and when to apply retrieval-augmented generation versus fine-tuning.
  • Experience conducting Voice of Customer interviews and customer discovery in complex business-to-business environments such as Legal, Finance, or Sales.

Responsibilities

  • Own, build, and maintain a prioritized 12-month product roadmap that balances quick wins with long-term strategic bets, translating stakeholder requests into concrete, actionable epics.
  • Serve as the primary liaison between technical engineering and non-technical business leaders, translating complex AI concepts into business risk and managing stakeholder expectations.
  • Develop and execute go-to-market strategies and change management plans, creating launch materials and training guides to ensure successful user adoption of new AI tools.
  • Rapidly build and iterate on functional prototypes using AI-native tools such as Replit, Cursor, and no-code builders to validate process fit and user experience before committing full engineering resources.
  • Use prompt engineering in playground environments to test the feasibility of AI solutions and ensure viable concepts are added to the engineering roadmap.
  • Define and own the Product Requirements Document, establishing production standards such as Error Budgets and Golden Sets.
  • Create, curate, and version-control the Golden Set, a definitive dataset of inputs and ideal outputs, to grade and validate AI model performance.

Desired Qualifications

  • A maker attitude with a portfolio of projects or artifacts built to demonstrate ideas.
  • A track record of shipping complex enterprise software products from concept to launch (0-to-1).
  • Experience defining a North Star metric and instrumenting products to track business outcomes such as adoption, retention, and return on investment.
  • Experience managing and curating Golden Datasets for AI/ML model evaluation and acceptance testing.

About the Company

Palo Alto Networks

Builds cybersecurity tools for organizations

Palo Alto Networks builds cybersecurity hardware and software for businesses and public institutions, protecting their networks, cloud workloads and digital identities. Its portfolio combines network firewalls with tools that detect attacks, investigate security alerts and manage access to sensitive systems. Security teams use these products across offices, data centers and cloud environments, with shared data and automated workflows connecting the company's platforms. It earns revenue from appliance sales and software licenses, plus subscriptions and support contracts that keep protections and services active over time. Palo Alto Networks began operations in 2005 and is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2005

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