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11 дней назад

VP of Systems Engineering (AI Infrastructure) - West Coast

Формат работы
onsite
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
VP of Systems Engineering (AI Infrastructure): Leading and scaling a Western U.S. systems engineering organization for an AI infrastructure platform with an accent on second-line leadership, enterprise architecture, and complex technical sales. Focus on developing SE managers, winning strategic enterprise opportunities, and guiding architecture across compute, networking, storage, data platforms, and AI infrastructure.

Location: Western United States; travel throughout the Western U.S. required

Company

hirify.global is building an operating system for AI that unifies storage, database, compute, and data services for demanding AI and data environments.

What you will do

  • Lead the Systems Engineering organization across the Western U.S. through first-line SE managers and their teams.
  • Build the leadership bench by recruiting, coaching, and developing high-performing technical teams.
  • Partner with Sales leadership to define regional strategy, prioritize accounts, build pipeline, and win net-new enterprise customers.
  • Set standards for technical discovery, full-stack solution architecture, competitive positioning, proofs of concept, executive engagement, and technical deal execution.
  • Engage directly in strategic opportunities involving complex architecture, executive alignment, and competitive differentiation.
  • Partner with Sales, Product, Engineering, the CTO Office, Alliances, Customer Success, and Support to scale repeatable technical sales motions.

Requirements

  • Significant leadership experience in Systems Engineering, Solutions Engineering, Field Architecture, or technical pre-sales.
  • Proven second-line leadership experience managing and developing SE managers.
  • Experience building high-performing technical field organizations in enterprise infrastructure, data platforms, cloud, or AI.
  • Deep technical credibility across distributed storage, NFS, SMB, S3, NVMe/NVMe-oF, Ethernet, RDMA/RoCE, InfiniBand, Linux, Kubernetes, containers, cloud platforms, and GPU infrastructure.
  • Knowledge of Spark, Iceberg, Delta Lake, Trino, Kafka, GPU infrastructure, and large-scale AI training and inference environments.
  • Strong executive presence, solution-selling expertise, recruiting ability, and willingness to travel throughout the Western U.S.

Culture & Benefits

  • Build a technical organization in a high-growth environment rather than inheriting a mature structure.
  • Operate with accountability, intellectual curiosity, technical excellence, customer obsession, and continuous development.
  • Work across enterprise infrastructure, AI, cloud, financial services, technology, media, and life sciences environments.

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