обновлено 5 дней назад
VP, Customer Engineering & Value Engineering (AI Infrastructure)
357 000 - 407 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Customer Engineering & Value Engineering (AI Infrastructure): Building and scaling global customer and value engineering organizations for ruggedized edge AI infrastructure, from technical discovery through deployment-ready architectures and quantified business outcomes with an accent on GPU infrastructure, AI inference, distributed systems, and ROI modeling. Focus on standardizing global pre-sales methodologies, validating complex edge architectures, developing regional teams, and aligning technical solutions with executive-level business value.
Location: United States (Remote)
Compensation: $357,000–$407,000 USD annually, plus equity and subsidized benefits.
Company
builds modular, deployable AI infrastructure for edge and sovereign computing, including ruggedized data centers and GPU-accelerated platforms used across energy, defense, telecom, and industrial environments.
What you will do
- Lead, coach, hire, and scale globally distributed Customer Engineering and Value Engineering organizations across North America, EMEA, APAC, and emerging markets.
- Own the global pre-sales lifecycle from technical discovery and requirements scoping through validated architectures, qualification, and business-case development.
- Establish standards for AI-first discovery, edge architecture, proof-of-value delivery, ROI modeling, and executive-level value articulation.
- Guide teams in designing GPU deployments, hybrid edge-cloud architectures, satellite-connected environments, and real-time AI systems.
- Partner with Sales, Product, Engineering, and Deployment teams to align architectures with ROI, operational efficiency, and AI transformation outcomes.
- Develop repeatable playbooks and feed customer and market insights into product, hardware, and platform strategy.
Requirements
- Bachelor’s degree in a relevant technical field.
- 7+ years leading global Customer Engineering, Solutions Architecture, or Value Engineering teams, plus 7–10+ years in pre-sales, AI infrastructure, data centers, or distributed systems.
- Deep expertise in GPU infrastructure, the NVIDIA ecosystem, AI frameworks such as TensorRT and ONNX, and data center and edge architecture.
- Experience with Kubernetes, virtualization, and cloud IaaS/PaaS environments.
- Ability to architect end-to-end systems covering modular data centers, networking, storage, and compute.
- Ability to influence C-level stakeholders globally and willingness to travel internationally, including to remote and field environments.
Nice to have
- Experience in energy, defense, telecom, utilities, or industrial sectors.
- Exposure to modular or mobile data centers, edge AI optimization, OT/IT convergence, or satellite/LEO connectivity such as Starlink or VSAT.
- Global experience across EMEA, APAC, or the Middle East.
- Relevant AI/ML, cloud, or data center certifications.
Culture & Benefits
- Ownership, autonomy, continuous learning, and a growth-oriented working environment.
- Medical, dental, and vision coverage at subsidized cost.
- HSA, FSA, and dependent-care FSA options.
- Retirement plans including 401(k) and Roth 401(k).
- Unlimited paid time off and 14 paid company holidays annually.
- Equity compensation is offered in addition to salary.
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