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6 дней назад

Customer Success Engineer (AI Infrastructure)

150 000 - 175 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
Customer Success Engineer (AI Infrastructure): Leading technical customer onboarding, adoption, renewals, and expansion for a Kubernetes-based AI infrastructure platform with an accent on cloud-native architecture, tenant isolation, and measurable business outcomes. Focus on designing deployment architectures, solving platform and operational challenges, and connecting GPU infrastructure adoption to customer ROI.

Location: Remote within the United States; USA - New York City

Salary: $150,000–$175,000 estimated annual base salary, plus equity and commission.

Company

hirify.global is a venture-backed startup building AI infrastructure and open-source Kubernetes tenancy platforms for AI cloud providers, AI factories, and enterprise customers.

What you will do

  • Own end-to-end customer onboarding, including architecture workshops, platform installation, access setup, integrations, and operational readiness reviews.
  • Build and maintain success plans covering business objectives, KPIs, adoption milestones, and renewal timelines.
  • Translate platform adoption, Tenant Cluster growth, provisioning efficiency, and developer self-service into measurable business outcomes.
  • Lead regular customer check-ins, Quarterly Business Reviews, and Executive Business Reviews.
  • Advise platform engineers, DevOps teams, and architects on Kubernetes deployment patterns, RBAC, Tenant Isolation, integrations, and Day 2 operations.
  • Own renewal activities, identify expansion opportunities, and communicate customer feedback to Product and Engineering.

Requirements

  • Experience in a technical post-sales role such as customer success, technical account management, or professional services.
  • Hands-on familiarity with Kubernetes and cloud-native technologies.
  • Ability to discuss architecture, RBAC, Tenant Isolation, and cloud infrastructure with technical stakeholders.
  • Ability to communicate effectively with both executive buyers and platform engineers.
  • Structured, proactive approach to success planning, adoption tracking, risk identification, renewals, and expansion.
  • Understanding of renewal and expansion drivers in SaaS or platform businesses.

Nice to have

  • Kubernetes certification such as CKA or CKAD.
  • Experience with AI/ML infrastructure, GPU compute environments, or internal developer platforms at scale.
  • Experience with regulated industries such as financial services, healthcare, or the public sector.
  • Contributions to Kubernetes or other open-source projects.
  • Experience at a Series B–D startup building a repeatable post-sales motion.

Culture & Benefits

  • Remote-first culture with a distributed global team and flexible workplace arrangements.
  • Flexible working schedule focused on results rather than fixed daily hours.
  • Health, dental, vision, and life insurance for employees and eligible dependents, with benefits varying by country.
  • Competitive compensation package including equity and commission.
  • Culture centered on ownership, measurable impact, open source, and intentional technical innovation.

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