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Palo Alto Networks

Builds cybersecurity tools for organizations

Associate IT Product Manager

Technical Product ManagementPosted on Nov 13
Full-timeCalifornia, USA

About the Job

Requirements

  • Minimum of 5 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of product management experience in enterprise technology, IT post-sales, or customer experience domains.
  • Deep expertise in agentic AI systems, including hands-on experience structuring workflows for autonomous agents, human-in-the-loop validation, and generative conversational frameworks.
  • Demonstrated experience tracking a customer’s post-sales journey across entitlement management, consumption, activation and provisioning, customer success, and support.
  • Ability to analyze legacy workflows and raw data flows, then reconstruct simplified architectures.
  • Proven experience integrating AI solutions with enterprise platforms such as Salesforce, Gainsight, Clarizen, or custom applications.
  • Ability to articulate complex AI agent logic and end-to-end journey visions to technical engineering teams and non-technical executive leadership.
  • Proficiency in Agile/Scrum methodologies, with experience leading sprint planning and backlog grooming in an AI or advanced data development context.

Responsibilities

  • Analyze the post-sales customer lifecycle, including purchase, licensing and entitlement activation, deployment hurdles, feature consumption, and support ticket creation.
  • Map how technical support cases or telemetry alerts trigger upstream adjustments in deployment workflows or consumption tracking that affect customer health.
  • Architect a unified, actionable application product roadmap across Salesforce, Gainsight, custom applications, and telemetry data lakes.
  • Identify manual friction points in service and lifecycle processes and replace them with agent-native architectures that automate complex tasks.
  • Design and deploy autonomous or human-in-the-loop AI agents to address deployment blocks, license usage imbalances, and feature adoption gaps.
  • Integrate generative conversational AI into customer-facing and internal touchpoints to deliver predictive and personalized experiences.
  • Use advanced analytics, machine learning platforms, and real-time product telemetry to identify patterns in support cases and engineering escalations.
  • Design features that correlate support requests with deployment phases and consumption anomalies to prioritize platform fixes and prevent customer issues.
  • Optimize data feeds from infrastructure and cloud systems to help AI models anticipate user needs before issues are reported.
  • Use AI-assisted tools, including large language models and low-code builders, to create functional prototypes that validate data flows and API logic before engineering handoff.
  • Own the product lifecycle from ideation to delivery, writing epics and user stories with an AI-first approach embedded in the AI software development lifecycle.
  • Coordinate across business units, research and development, IT architecture, data engineering, and quality assurance to deliver intelligent ecosystem solutions.
  • Establish and monitor success criteria and key performance indicators for AI-powered features, including model performance, data quality, agent execution accuracy, and return on investment.
  • Promote AI product-management practices and mentor junior team members.

Desired Qualifications

  • A track record of launching scalable, AI-powered solutions.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, ideally with a strong emphasis on AI/ML.

About the Company

Palo Alto Networks

Builds cybersecurity tools for organizations

Palo Alto Networks builds cybersecurity hardware and software for businesses and public institutions, protecting their networks, cloud workloads and digital identities. Its portfolio combines network firewalls with tools that detect attacks, investigate security alerts and manage access to sensitive systems. Security teams use these products across offices, data centers and cloud environments, with shared data and automated workflows connecting the company's platforms. It earns revenue from appliance sales and software licenses, plus subscriptions and support contracts that keep protections and services active over time. Palo Alto Networks began operations in 2005 and is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2005

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