Deployment Strategist

Taken ownership of at least one customer deployment and delivered measurable value

Built and shipped at least one repeatable deployment pattern or playbook

Produced at least one field-grounded reference artifact that improves adoption

Driving measurable improvements in customer ROI, time-to-value, and deployment repeatability

Establishing durable success KPIs and scalable deployment systems

Operating as a trusted executive advisor who improves decision quality and expands pipeline conversion

7+ years in systems architecture, technical delivery strategy, customer success engineering, deployment leadership, consulting, or similar

Strong ability to quantify ROI and business value and guide executive decision-making

Comfortable operating across infrastructure, security, networking, data systems, and applied AI

Strong operational discipline with experience designing playbooks and success KPIs

Proficient with modern technical and analytical tooling (cloud/edge concepts, APIs, BI dashboards, structured documentation)

Clear communicator who can translate complex deployments into crisp patterns and compelling narratives

Ownership mindset with a focus on outcomes

Building repeatable deployment strategies that scale across customers and partners

Producing high-quality, field-grounded enablement materials that accelerate adoption

Strong technical background in edge or distributed systems (Linux, Docker/Kubernetes, networking/security, data pipelines)

Experience working with applied AI in real environments

AI-native operating experience—using AI tools to accelerate synthesis and delivery while applying strong judgment

Our client is deploying AI in real-world environments, helping organizations unlock meaningful productivity gains at the intersection of infrastructure, security, networking, and AI. Their teams operate in highly distributed, performance-critical environments where reliability and scalability are essential.

They maintain an AI-native culture—leveraging AI daily to accelerate design, testing, deployment, and operations of complex systems. This is an opportunity to help shape how AI is applied in production environments at global scale.

Our client is an equal opportunity employer committed to building an inclusive and merit-based organization.