VP, Customer Engineering

Overview

VP, Customer Engineering to lead a global pre-sales organization covering Customer Engineering and Value Engineering for AI infrastructure and edge computing.

What you'll do

• Own the pre-sales technical lifecycle across regions from initial discovery through deployment-ready architectures.
• Build and scale a globally distributed CE + VE team across North America, EMEA, APAC, and emerging markets.
• Lead hiring strategy for Customer Engineering and Value Engineering to expand into new regions and scale existing teams.
• Establish operating rhythms, onboarding frameworks, and standards for technical and commercial excellence.
• Drive AI-first technical discovery and value-based solutioning, including ROI and feasibility validation.
• Partner with Sales, Product, Engineering, and Deployment to align architectures with business outcomes and revenue.
• Develop repeatable methodologies and playbooks for edge reference architectures and proof-of-value.

What you'll need

• 7+ years leading Customer Engineering, Solutions Architecture, or Value Engineering teams globally.
• 7–10+ years in pre-sales, AI infrastructure, data center, or distributed systems.
• Proven experience building and scaling global CE and/or VE organizations.
• Expertise in GPU compute and AI inference, including NVIDIA ecosystem.
• Expertise in GPU infrastructure and AI frameworks including TensorRT and ONNX.
• Experience with Kubernetes, virtualization, and cloud (IaaS/PaaS).
• Willingness to travel internationally, including remote/field environments.

Details

• Work mode: Remote (United States).