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3 дня назад

Solutions Architect (AI Infrastructure)

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

Текст:
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TL;DR

Solutions Architect (AI Infrastructure): Work directly with customers to onboard, deploy, and scale AI workloads on high-performance infrastructure with an accent on customer success, technical operations, and building scalable internal systems. Focus on turning high-touch support into repeatable processes, automation, and operational leverage for sophisticated AI labs.

Location: San Francisco with visa sponsorship and relocation support

Company

hirify.global builds full-stack AI infrastructure platform Lab for post-training at frontier scale, used internally to train open state-of-the-art models.

What you will do

  • Serve as primary point of contact for customers running AI workloads, owning onboarding and deployment from post-sale to production.
  • Build trusted relationships, manage issues, risks, escalations, and translate customer needs to engineering and operations.
  • Build and improve internal systems for onboarding, deployment tracking, escalation, and account health.
  • Automate repetitive workflows and define operating cadence for managing technical accounts at scale.
  • Track billing, contracts, renewals, timelines, and coordinate across customers, finance, engineering, and leadership.

Requirements

  • 2–5 years in customer success, technical account management, operations, or similar cross-functional role
  • Strong interest in AI, GPU infrastructure, cloud systems, or technical products for sophisticated customers
  • Comfortable working with customers and internal technical teams
  • Highly organized, detail-oriented, manage multiple workstreams
  • Strong written and verbal communication skills
  • High ownership, flexibility for urgent customer needs
  • Energized by building processes in fast-moving environment

Nice to have

  • Experience with infrastructure, cloud, DevOps, or enterprise technical products
  • Familiarity with SLAs, support operations, billing, procurement, contract administration
  • Exposure to AI/ML infrastructure, model training, GPU-based products
  • Experience in startups or high-growth environments

Culture & Benefits

  • Competitive cash compensation + equity incentives
  • Flexible work environment
  • Visa sponsorship and relocation support
  • Professional development budget
  • Team off-sites and conference attendance

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