Senior Engineering Manager, Enterprise AI Products

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 Description

Your Career

As the Senior Engineering Manager for the Enterprise AI Products Team, you will lead the end-to-end execution behind our next generation of internal and external AI-driven applications, intelligent agents, and automated solutions. This role is built for a sharp, deeply technical manager who rejects hands-off administration and thrives on staying close to the architecture, infrastructure, and code.

In this role, you will embody T-shaped leadership. Your vertical depth is rooted in elite technical expertise—AI engineering, Large Language Models (LLMs), and high-scale distributed systems. Your horizontal breadth is your capability to understand and speak the language of other disciplines across the enterprise, including Product Management, Sales, Marketing, Finance, HR, and Legal. You don't just manage engineering tasks; you connect disparate ideas, translate business needs into technical realities, and align cross-functional stakeholders to make better, faster product decisions.

Most importantly, you are an agile leader who effectively modulates your depth—possessing the capability and willingness to make targeted individual contributions or go to any technical level when the situation demands.

Your Impact

• Deep-Dive Technical Leadership:
  Maintain strong technical anchoring. You will actively engage in system design, perform rigorous code reviews, and dive straight into the trenches to pair-program, debug, or unblock critical production issues alongside your team.
• T-Shaped Problem Solving & Alignment:
  Solve complex enterprise challenges by balancing your technical depth (the vertical) with a broad understanding of business functions like Marketing, Finance, and Sales (the horizontal). Connect technical capabilities with business goals to drive seamless alignment across non-technical teams.
• 0-to-1 Product Delivery:
  Lead a talent-dense team through the full lifecycle of production-grade AI applications, multi-modal systems, and agentic workflows. Translate complex, fast-moving business requirements into concrete technical roadmaps and hardened software foundations.
• Building a "Pit of Success":
  Focus ruthlessly on developer velocity and systems thinking. Design internal tooling, automated evaluation pipelines, and guardrails that make it easy for other engineering and product teams to safely deploy AI features without needing to know every underlying infrastructure detail.
• Operational Excellence & Toil Reduction:
  Instill high-rigor engineering practices, including automated model training, versioning, deployment, and monitoring. Drive automated testing strategies for drift detection, while building self-healing infrastructure to minimize operational toil.
• Responsible AI & Governance:
  Partner with security, legal, and data governance teams to build privacy-preserving data interfaces, ensuring all AI products strictly adhere to compliance frameworks, data privacy laws, and secure AI…