Product Manager (AI For SASE Deployment)

Product Manager (AI For SASE Deployment)

At Palo Alto Networks, everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through every one of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Job Description

Palo Alto Networks is actively expanding its world-class Product Management organization, seeking top-tier talent to drive the future of cybersecurity. We are reimagining how customers experience deployment across our SASE portfolio, and AI is at the heart of this transformation. As a Product Manager focusing on AI for SASE Deployment, you will be responsible for defining and executing a roadmap that leverages AI to simplify, accelerate, and optimize the deployment and enables seamless and accelerated SASE feature adoption for our customers.

Our SASE platforms form the bedrock of our network security offerings. This role provides a unique opportunity to shape the future of SASE deployments by solving critical customer challenges and redefining industry standards in this rapidly evolving space.

To succeed in this role, you will need a rare blend of technical depth, customer empathy, and a bias for execution, paired with a strong analytical mindset and a passion for AI-driven transformation. You will help reimagine how enterprise customers deploy our SASE solutions, using data, telemetry, machine learning and generative AI to simplify and accelerate every step of the journey.

You will focus on:

• Understanding Customer Deployment Contexts: Build a detailed understanding of customer deployment architectures, operational environments, and blockers. Use this insight to inform product decisions, shape requirements, and tailor deployment experiences to meet real-world needs.
• Accelerating Value Realization: Lead initiatives that simplify and speed up the deployment of key SASE components. Drive improvements that allow customers to extract security and performance value faster, with less manual effort and fewer handoffs.
• Applying AI from Design to Deployment: Partner with our AI/ML teams to infuse intelligence into the deployment journey (e.g., using telemetry to recommend optimal configurations, guiding users through deployment workflows, and automating diagnostics and rollout steps using LLM-based agents)
• Resolving Deployment Friction Across Teams: Work cross-functionally to identify and unblock systemic deployment challenges, whether in onboarding, documentation, tooling, or integration. Proactively align teams across product, support, services, and engineering to drive resolution and ensure seamless adoption.

You will be a visible face of the deployment experience, interfacing directly with customers, partners, and internal teams. You will be expected to deeply understand user pain points, synthesize feedback into action, and collaborate closely with engineering to ship impactful features. A strong track record of delivering AI-enhanced or data-driven product capabilities, especially in enterprise or cloud environments, will be key.

Your impact will include:

• Define and execute the product vision, strategy, and roadmap for AI-driven features that transform SASE deployment, with a focus on automation, acceleration, and simplification of post-sales workflows
• Collaborate with engineering and data science teams to develop and integrate AI capabilities.
• Partner across the SASE product portfolio to deliver a unified and intelligent deployment experience aligned to our platformization strategy
• Translate customer deployment challenges into actionable AI use cases by deeply understanding deployment architectures, pain points, and field feedback
• Work cross-functionally with Support, Professional Services, Customer Success, and NPI teams to ensure new AI-driven deployment features are adopted, documented, and supported across the customer lifecycle
• Identify technology partners and drive integration into our SASE products
• Contribute to go-to-market readiness by supporting demos, enablement sessions, documentation, and customer-facing content that highlights the value of AI in deployment
• Monitor usage and impact of AI deployment features, iterating quickly based on field feedback, product analytics, and emerging customer needs
• Engage directly with customers and partners to showcase innovation, validate solutions, and shape future investments in intelligent deployment

Qualifications

Your experience will include:

• BS/MS in Computer Science, Engineering, or a related technical field; equivalent practical or military experience also considered
• 3-5 years of product management or closely related experience, with exposure to enterprise SaaS, networking, or cloud security strongly preferred
• Hands-on experience collaborating with AI/ML teams to build and launch intelligent features
• Strong technical and analytical skillset, with the ability to understand complex systems and translate them into clear product requirements
• Familiarity with SASE architectures, SD-WAN, ZTNA, or network security concepts is a strong plus
• Demonstrated ability to work cross-functionally with engineering, support, services, and GTM teams to drive execution and adoption
• Strong communication skills, including comfort interfacing directly with customers, partners, and internal executives
• Comfortable operating in fast-paced environments with overlapping priorities and evolving product scopes
• Proven problem-solving skills, with a data-driven mindset and a bias toward action and iteration