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VP, Customer Engineering & Value Engineering (AI Infrastructure)

357 000 - 407 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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