7 дней назад
SVP / VP / Director of Product, AI Cloud
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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