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# Sr Technical Program Manager II ( NetSec)

- **Company:** Palo Alto Networks
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $148,200 - $239,800
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Catalyst (Software), Cloud Computing, Cloud Computing Security, Cyber Security, Information Systems Security Architecture Professional, Network Security, Workflow Management Systems, NotebookLM, Firewalls (Computer Science), AI Platforms, Information Technology, Palo Alto Networks, Virtual Agents, Google Gemini, Automation Anywhere
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466809664&tx=ZT1918TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Palo Alto Networks is seeking an experienced and highly motivated Senior Technical Program Manager to join our fast-growing organization. Operating as a strategic thinker with excellent problem-solving skills, this results-oriented leader will manage key initiatives within our Network Security Portfolio including AI Security, Next-Gen Firewalls, and Cloud-Delivered Security Services., * Experience: 8-10 years of demonstrable technical program management experience leading large-scale software, cloud security, AI platforms, or firewall engineering programs.

 * Demonstrable track record of owning multiple high-complexity programs simultaneously across collaborating product divisions.
 * Domain Knowledge: Deep technical understanding of AI Security, Cloud-Delivered Security Services, Next-Gen Firewalls, and distributed security architectures.
 * Adaptable, Highly organized, detail oriented with demonstrable ability to manage ambiguity and multiple priorities concurrently.
 * Core Competencies: Exceptional problem-solving skills, strategic mindset, and a results-oriented approach to driving technical clarity and execution in complex environments.
 * AI Proficiency: Demonstrated leadership in AI adoption (AI Practitioner / Innovator Level), with hands-on experience with tools like Gemini, NotebookLM, ADK, Anton, or custom AI Agent workflows to enhance engineering delivery.
 * Communication & Influence: Excellent verbal, written and presentation skills. Universally looked up across functions as an SME; expert at negotiating architectural trade-offs and presenting to executive leadership.
 * Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or equivalent technical discipline.

## Description

* Multi-Program Leadership & Ownership: Own the execution of multiple highly complex engineering programs from inception through release. Identify dependencies, resolve inter-organizational ambiguities, and solve cross-product challenges creatively. Ensure end-to-end completeness in product development and delivery across all collaborating functional areas (Eng, PLM, Support, Ops)
 * Cross-Product Influence & Stakeholder Engagement: Serve as the Subject Matter Expert (SME) for your product areas. Influence peers across teams and organizations to solve cross-functional and cross-product challenges, and present strategic process decisions to executive leadership.
 * Technical & Architectural Influence: Influence technical design and decision-making for multiple programs by understanding underlying business use cases, system details, and cross-functional trade-offs.
 * Systems Thinking & Process Optimization: Act as a 'Systems Thinker' to drive process change across the NetSec organization. Define product development planning processes, select program management tools, and implement metrics dashboards/KPIs to measure program progress, product quality, and operational efficiency.
 * AI Transformation, Leadership & Mentorship: Serve as the AI Innovator and Catalyst for the NetSec TPM organization with an "AI first" approach -leading the organization-wide shift toward advanced AI integration. Introduce next-generation AI workflow tools (such as ADK, Anton, and Agent development platforms), mentor TPM teams on AI workflows, and establish org-wide productivity KPIs and time savings metrics.