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Principal IT Product Manager, Post Sales

Job in Santa Clara, Santa Clara County, California, 95054, USA
Listing for: Palo Alto Networks
Full Time position
Listed on 2026-07-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), IT Consultant, Data Analyst, Technical Support
Job Description & How to Apply Below
** 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*
* Palo Alto Networks is seeking a Principal IT Product Manager with an End-to-End (E2E) process mindset to lead the strategic vision and transformation of our  
** post-sales customer ecosystem.
** In this role, you will look at the customer journey through a holistic lens: from the moment a customer purchases a product, through deployment , consumption, to ongoing technical support and telemetry that drives an overall account health management.

Leveraging first-principles thinking, you will break down complex, siloed operational tracks and architect AI-enabled, agentic solutions that simplify processes, eliminate friction, and accelerate value delivery. You will design systems where AI agents operate autonomously or with a human-in-the-loop, utilizing generative conversational AI to revolutionize how our customers deploy, utilize, and support their investments. This role requires a unique blend of deep data-driven empathy for the customer journey and cutting-edge technical product management expertise to directly influence both our Product and Global Customer Service (GCS) organizations.

Translate business objectives into a clear and actionable Application Product Roadmap and execute a holistic product strategy spanning Salesforce, Gainsight, Clarizen , Custom-built applications, and the broader post sales ecosystem. post-sales

** Key Responsibilities*
* ** E2E Customer Journey Mapping & Vision*
* + Analyze the comprehensive post-sales customer lifecycle, linking the initial purchase to licensing/entitlement activation, deployment hurdles, feature consumption, and support ticket creation.

+ Bridge operational silos by mapping how a technical support case or telemetry alert triggers upstream adjustments in deployment workflows or consumption tracking contributing to customer overall health.

+ Act as the primary architect of a unified, actionable Application Product Roadmap across Salesforce, Gainsight, custom applications, and telemetry data lakes.

** Agentic Process Design*
* + Identify manual friction points in the service and lifecycle chains, replacing them with "Agent-Native" architectures to automate complex tasks

+ Design and deploy autonomous or human-in-the-loop AI agents capable of reasoning through complex deployment blocks, license usage imbalances, or feature adoption gaps.

+ Infuse generative conversational AI into customer-facing and internal touchpoints to deliver predictive, proactive, and deeply personalized experiences.

** Telemetry & Predictive Support Orchestration*
* + Leverage advanced analytics, machine learning platforms, and real-time product telemetry data to identify patterns in case trends and engineering escalations.

+ Design features that correlate support requests with specific deployment phases versus active consumption anomalies, proactively prioritizing platform fixes and preventing future customer issues.

+ Ensure data feeds from infrastructure and cloud systems…
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