Product Manager (AI for SASE Deployment)

Your CareerPalo 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 ImpactDefine 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 workflowsCollaborate 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 strategyTranslate customer deployment challenges into actionable AI use cases by deeply understanding deployment architectures, pain points, and field feedbackWork 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 lifecycleIdentify technology partners and drive integration into our SASE productsContribute to go-to-market readiness by supporting demos, enablement sessions, documentation, and customer-facing content that highlights the value of AI in deploymentMonitor usage and impact of AI deployment features, iterating quickly based on field feedback, product analytics, and emerging customer needsEngage directly with customers and partners to showcase innovation, validate solutions, and shape future investments in intelligent deployment