Senior Staff AI Deployment Strategist

Job not on LinkedIn

🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $112.9k - $182.6k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Palo Alto Networks

WebsiteLinkedInAll Job Openings

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 Description

• Own end-to-end business success, ROI realization, and user adoption across high-impact enterprise accounts • Establish baseline metrics, define target KPIs, and measure, track, and present realized financial and operational value to client executives • Serve as primary peer and strategic advisor to client executive sponsors, including CIOs, CTOs, Chief AI Officers, and Business Unit Leads • Govern parallel workstreams including agent orchestration, guardrails/security, data pipelines, UI integration, and change management • Control engagement scope, manage client expectations, and translate ad-hoc requests into structured roadmap decisions • Maintain operational boundaries and structured delivery cadences to prevent reactive technical firefighting • Analyze client operating models and redesign workflows around AI capabilities • Manage organizational change, address user inertia, and realign decision rights to drive AI adoption • Conduct user feedback loops to refine business solutions and drive change management programs • Partner with Forward Deployed Engineers to translate business requirements into actionable technical user stories • Own executive stakeholder management, business politics, and operational blockers • Identify adjacent enterprise use cases to expand account footprint post-deployment • Convert successful proofs-of-concept into multi-year, enterprise-wide production deployments

🎯 Requirements

• 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 • Deep understanding of enterprise AI deployments, large language models (LLMs), multi-agent systems, and digital workflow transformation • Proven track record of aligning, advising, and holding accountability with C-suite executives and senior enterprise stakeholders • Ability to construct business cases, model ROI, design KPIs, and re-engineer complex operational business processes • Ability to speak fluently with engineers and understand technical trade-offs, including latency vs. accuracy, guardrail evaluation, and data integration patterns • Strong background in organizational design, user adoption, and driving behavioral change across large operational teams

🏖️ Benefits

• Restricted stock units may be included • Bonus may be included • Employee benefits are available (specific benefits not detailed) • Immigration sponsorship eligible • Reasonable accommodations for qualified individuals with disabilities