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7 дней назад

SVP / VP / Director of Product, AI Cloud

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Singapore/Malaysia
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
SVP / VP / Director of Product, AI Cloud (GPU Cloud/AI Infrastructure): Defining and scaling a unified AI cloud platform across GPU compute, bare metal, containers, networking, storage, training, and inference with an accent on product strategy, commercialization, and platform standardization. Focus on building a global product organization, optimizing pricing and resource utilization, and translating complex AI infrastructure requirements into scalable customer capabilities.

Location: Singapore, SG or Penang, Malaysia

Company

hirify.global is a technology company focused on Bitcoin mining, AI cloud, ASIC chip development, mining infrastructure, and high-performance computing datacenters.

What you will do

  • Define the product strategy, architecture, positioning, roadmap, and investment priorities for the AI cloud platform.
  • Lead the product portfolio across GPU compute, bare metal, containers, networking, storage, resource management, and shared cloud capabilities.
  • Set product direction for AI training, inference, model deployment, and serverless inference.
  • Own product packaging, business models, pricing, metering, SLAs, revenue, gross margin, utilization, and customer adoption.
  • Translate the needs of AI companies, developers, and enterprises into standardized and repeatable platform capabilities.
  • Build the AI cloud product organization and coordinate product, engineering, infrastructure, operations, sales, and solutions teams across the full product lifecycle.

Requirements

  • 10+ years of experience in cloud computing, infrastructure, or enterprise technology products, including product or product-team leadership.
  • Experience with a major public cloud, GPU cloud, AI infrastructure platform, or neocloud provider.
  • Ownership or significant expansion and commercial scaling of a major cloud product line or platform.
  • Strong understanding of GPU computing, cloud infrastructure, resource scheduling, networking, storage, containers, metering, and billing.
  • Familiarity with large-model training, inference, model serving, and AI workload requirements.
  • Strong product strategy, commercial judgment, prioritization, pricing, cost management, utilization, and cross-functional leadership skills.

Culture & Benefits

  • Inclusive culture valuing authenticity and diverse perspectives.
  • Open workspace environment with a startup-oriented atmosphere.
  • Opportunity to work with industry pioneers and contribute to digital asset infrastructure.
  • Autonomy, personal accountability, fast growth, and learning opportunities.
  • Training, mentoring, welfare benefits, and development opportunities.

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