2 дня 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 infrastructure and AI platforms): Defining and commercializing a unified, standardized, and scalable AI cloud platform across GPU compute, training, inference, and related cloud capabilities with an accent on product strategy, portfolio ownership, pricing, and platform utilization. Focus on building AI cloud products for large-scale workloads, converting customer requirements into repeatable capabilities, and leading cross-functional execution across global data centers.
Location: San Jose, California, United States — hybrid, combining remote and in-person work
Company
provides Bitcoin mining infrastructure, data center capabilities, GPU computing, and AI cloud services across multiple countries.
What you will do
- Define the AI cloud product strategy, architecture, roadmap, market positioning, and investment priorities.
- Lead the product portfolio across GPU compute, bare metal, containers, networking, storage, resource management, and shared cloud capabilities.
- Shape products for AI training, inference, model deployment, and serverless inference.
- Own product packaging, business models, pricing, metering, SLAs, revenue, gross margin, resource utilization, and customer adoption.
- Translate the needs of AI companies, developers, and enterprises into standardized, scalable platform capabilities.
- Partner with engineering, infrastructure, operations, sales, and solutions teams across the full product lifecycle, while building and leading the AI cloud product organization.
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.
- Experience owning or commercially scaling 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, commercialization, prioritization, leadership, and cross-functional execution skills.
Nice to have
- Experience at AWS, Microsoft Azure, Google Cloud, OCI, Alibaba Cloud, Tencent Cloud, CoreWeave, Lambda, Crusoe, Nebius, or a comparable provider.
- Experience managing large-scale GPU capacity with responsibility for revenue, gross margin, or infrastructure utilization.
- Experience with global, multi-data-center, or multi-region cloud platforms.
- Knowledge of NVIDIA's GPU roadmap, large-model training and inference frameworks, and the AI infrastructure ecosystem.
Culture & Benefits
- Hybrid work combining remote and in-person collaboration in San Jose.
- Opportunity to build AI cloud infrastructure across a global data center and GPU network.
- Cross-functional collaboration with product, engineering, infrastructure, operations, sales, and solutions teams.
- Equal employment opportunity in accordance with applicable country, state, and local laws.
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