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!

Job Summary

As an AI Deployment Strategist (Customer Outcome Leader) within Forward Deployment Engineering, you are the single-threaded business owner responsible for driving realized value, user adoption, and long-term expansion across our enterprise AI engagements.

Deploying enterprise AI is fundamentally different from traditional software delivery—it mutates operational workflows, alters decision-making rights, and spans multiple complex technical streams.

Working directly alongside our Forward Deployed Engineers (FDEs) who build and optimize the technical architecture, you own the business realization.

You will bridge the gap between executive AI vision and day-to-day operational reality, ensuring our solutions deliver clear, measurable ROI while insulating technical teams from reactive firefighting and unmanaged scope creep.

Key Responsibilities

1. Single-Threaded Business & Value Ownership

• Own end-to-end business success, ROI realization, and user adoption across high-impact enterprise accounts (e.g., global consultancies, Fortune 500 enterprises).
• Establish baseline metrics, define target KPIs, and continuously measure, track, and present realized financial and operational value to client executives.
• Serve as the primary peer and strategic advisor to client executive sponsors (CIOs, CTOs, Chief AI Officers, Business Unit Leads).

2. Multi-Stream Governance & Scope Control

• Unite and govern complex, parallel workstreams (agent orchestration, guardrails/security, data pipelines, UI integration, and change management) under a single strategic roadmap.
• Act as the strict gateway for engagement scope—eliminating unmanaged scope creep, managing client expectations, and translating ad-hoc requests into structured roadmap decisions.
• Prevent technical teams from falling into reactive firefighting by maintaining clear operational boundaries and structured delivery cadences.

3. Workflow Redesign & Operational Change Management

• Deeply analyze client operating models to identify high-value business problems and redesign operational workflows around AI capabilities.
• Manage organizational change, address user inertia, and re-align decision rights to ensure end users actively adopt AI tools into daily workflows.
• Conduct user feedback loops to refine the business solution, ensure outputs meet operational standards, and drive change management programs.

4. Partnership with Technical Delivery (FDEs)

• .