Job description

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary The Team Information Technology - To stay ahead of the curve, it’s critical to know where the curve is and how to anticipate the changes we’re facing. For the fastest-growing cybersecurity company, the curve is the evolution of cyberattacks and the products and services that proactively address them. Our Product Management team helps us do just that. This team provides the behind-the-scenes support for our products by being a source of information for our Systems Engineers, staying on top of the environment we sell in and helping to implement technical solutions based on our clients feedback and needs. As threats and technology evolve, we stay ahead to accomplish our mission. Job Summary We are seeking a visionary and hands-on Principal Product Manager to lead our Vertical AI strategy, re-imagining core business workflows in Marketing, Sales, Legal, and Finance from the ground up. In this role, you will move beyond generic AI additions to build high-value, domain-specific solutions that directly impact the company s bottom line. You will combine classical product management rigor with AI-native speed, rapidly building functional prototypes to prove concepts and using rigorous frameworks to focus on high-impact use cases that pass feasibility checks for stakes, accuracy, and economics. Key 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 effectively 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 (e.g., Replit, Cursor, no-code builders) to validate process fit and user experience before committing full engineering resources. Utilize prompt engineering in playground environments to test the feasibility of AI solutions, ensuring only viable concepts are added to the engineering roadmap. Define and own the Product Requirements Document (PRD), establishing rigorous, non-negotiable standards for production such as Error Budgets and Golden Sets . Create, curate, and version-control the Golden Set —a definitive dataset of inputs and ideal outputs—to scientifically grade and validate AI model performance. Qualifications Required Qualifications Bachelor’s degree with 12 years of relevant experience, or Master’s degree with 8 years of relevant experience, or PhD with 5 years of relevant experience in Product Management. Mandatory 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, backlog grooming, sprint planning, and writing high-quality user stories. Deep understanding of large language model (LLM) capabilities and constraints, including context windows, latency, hallucination rates, and when to apply RAG vs. fine-tuning. Proven experience conducting Voice of Customer interviews and customer discovery in complex B2B environments such as Legal, Finance, or Sales. Preferred Qualifications A Maker attitude with a portfolio of projects or artifacts built to demonstrate ideas. 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 key business outcomes like adoption, retention, and ROI. Experience managing and curating Golden Datasets for AI/ML model evaluation and acceptance testing. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here . $164,000.00 - $266,000.00/yr Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations paloaltonetworks.com . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

Requirements

Must-haves

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 effectively 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 (e.g., Replit, Cursor, no-code builders) to validate process fit and user experience before committing full engineering resources.
Utilize prompt engineering in playground environments to test the feasibility of AI solutions, ensuring only viable concepts are added to the engineering roadmap.
Define and own the Product Requirements Document (PRD), establishing rigorous, non-negotiable standards for production such as Error Budgets and Golden Sets .
Create, curate, and version-control the Golden Set —a definitive dataset of inputs and ideal outputs—to scientifically grade and validate AI model performance.
Bachelor’s degree with 12 years of relevant experience, or Master’s degree with 8 years of relevant experience, or PhD with 5 years of relevant experience in Product Management.
Mandatory 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, backlog grooming, sprint planning, and writing high-quality user stories.
Deep understanding of large language model (LLM) capabilities and constraints, including context windows, latency, hallucination rates, and when to apply RAG vs. fine-tuning.
Proven experience conducting Voice of Customer interviews and customer discovery in complex B2B environments such as Legal, Finance, or Sales.

Nice-to-haves

A Maker attitude with a portfolio of projects or artifacts built to demonstrate ideas.
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 key business outcomes like adoption, retention, and ROI.
Experience managing and curating Golden Datasets for AI/ML model evaluation and acceptance testing.
Compensation Disclosure
$164,000.00 - $266,000.00/yr
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision