Senior Staff AI Deployment Strategist

Palo Alto Networks; United States; À distance; USD 180 000 - 240 000; Plein temps

Résumé du poste

Palo Alto Networks is seeking an AI Deployment Strategist to own realized value and user adoption across enterprise AI engagements. Working closely with Forward Deployed Engineers, you will bridge executive AI vision and day-to-day operations, ensuring ROI while shielding teams from scope creep.

You will define baseline metrics, set KPIs, manage complex roadmaps, and partner with clients to translate business requirements into technical actions, driving successful multi‑year AI deployments

Qualifications

• 6–10 years in management consulting, forward‑deployed engineering, or related strategic roles in B2B SaaS/AI.
• Strong understanding of enterprise AI deployments, LLMs, and digital workflow transformation.
• Proven ability to align with C-suite executives and senior stakeholders.

Responsabilités

• Own end-to-end business success, ROI realization, and user adoption across enterprise accounts.
• Govern multiple workstreams under a single strategic roadmap and control scope creep.
• Redesign client workflows and manage organizational change to embed AI into daily operations.
• Collaborate with FDEs to translate business requirements into actionable technical work.
• Identify adjacent use cases to expand account footprint post-deployment.

Connaissances

Executive Presence

Business Acumen

Technical Literacy

Change Management

Stakeholder Management

Description du poste

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! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

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, Fortune500 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 analyse client operating models to identify high-value business problems and redesign operational workflows around AI capabilities. Manage organisational 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) Partner closely with Forward Deployed Engineers (FDEs) to translate business requirements into actionable technical user stories. Protect engineering bandwidth by owning executive stakeholder management, business politics, and operational blockers, allowing FDEs to focus proactively on core technical architecture, evaluations, and system reliability.
5. Account Expansion & Value Scaling Proactively identify adjacent, high-value enterprise use cases to expand account footprint post-initial deployment. Turn successful proofs-of-concept (POCs) into multi-year, enterprise-wide production deployments.

Qualifications

• 6–10 years in management consulting (e.g., McKinsey, BCG, Bain), forward-deployed engineering, technical account management, or forward-deployed strategic roles in high-growth B2B SaaS/AI companies.
• Domain Expertise: Deep understanding of enterprise AI deployments, large language models (LLMs), multi-agent systems, and digital workflow transformation.
• Executive Presence: Proven track record of aligning, advising, and holding accountability with C-suite executives and senior enterprise stakeholders.
• Business Acumen: Demonstrated ability to construct business cases, model ROI, design KPIs, and re-engineer complex operational business processes.
• Technical Literacy: Ability to speak fluently with engineers, understand technical trade-offs (e.g., latency vs. accuracy, guardrail evaluation, data integration patterns), and translate technical complexity into business impact.
• Change Management: Strong background in organisational design, user adoption, and driving behavioral change across large operational teams.

Core Competencies & Leadership Attributes

• Single-Threaded Accountability: Takes complete ownership of business outcomes without deflecting to technical or operational complexity.
• Scope Discipline: Firmly manages client expectations and resists unmanaged feature creep while maintaining high-trust executive relationships.
• Strategic Clarity in Ambiguity: Able to bring order to fragmented, multi-stream AI initiatives and establish clear direction amidst rapid technological change.
• Cross-Functional Catalyst: Bridges the cultural and operational gap between technical engineering teams and non-technical business leaders.

Compensation Disclosure

The compensation offered for this position wil