Product Manager (AI for SASE Deployment)
Product Manager (AI for SASE Deployment)
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Job Description
Your Career
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
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
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
Additional Information :
The Team
To stay ahead of the curve its critical to know where the curve is and how to anticipate the changes were 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.
Our organization and employees are committed to changing as rapidly as our industrys threats do and to do that we need creative product teams to address emerging cyber threats. They provide behind-the-scenes support for our products by being a source of information on our products for our systems engineers staying on top of the environment we sell in and helping to implement product-wide technical solutions based on our clients feedback and needs. As threats and technology evolve we stay ahead to accomplish our mission.
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/commissioned roles) is expected to be between $121000 - $196000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
