SVP / VP / Director of Product, AI Cloud

About Bitdeer Technologies Group

Position Overview

Key Responsibilities

• Define the overall product strategy, product architecture, and long-term roadmap for the company’s AI cloud platform, including market positioning, core product offerings, and investment priorities.
• Lead the product portfolio across GPU compute, bare metal, containers, networking, storage, resource management, and shared cloud platform capabilities.
• Define the product direction for AI training, inference, model deployment, and serverless inference, continuously improving the experience for developers and enterprise customers.
• Own product packaging, business models, pricing, metering, and SLA design, with accountability for product revenue, gross margin, resource utilization, and customer adoption.
• Develop a deep understanding of the needs of AI companies, developers, and large enterprises, and translate customer requirements into standardized and repeatable platform capabilities.
• Partner closely with engineering, infrastructure, operations, sales, and solutions teams to drive the full product lifecycle from strategy and development through launch, adoption, and ongoing optimization.
• Build and lead the AI cloud product organization, establishing effective processes for product decision-making, roadmap planning, requirements management, releases, and product operations.
• Monitor global trends in AI infrastructure, GPU technology, and cloud computing, and represent the company in strategic customer and ecosystem partner engagements.

Qualifications

• 10+ years of experience in cloud computing, infrastructure, or enterprise technology products, including experience leading products or product teams.
• Product experience with a major public cloud, GPU cloud, AI infrastructure platform, or neocloud provider.
• Demonstrated ownership of a major cloud product line, or leadership experience in building, significantly expanding, or commercially scaling a cloud platform.
• Strong understanding of GPU computing, cloud infrastructure, resource scheduling, networking, storage, containers, metering, and billing.
• Familiarity with the major product and infrastructure requirements for large-model training, inference, model serving, and AI workloads.
• Strong product strategy, market judgment, and prioritization skills, with the ability to balance customer needs, technical complexity, investment requirements, and commercial value.
• Experience with product pricing, cost management, infrastructure utilization, and commercialization, with accountability for measurable business outcomes.
• Proven leadership and cross-functional execution skills, including the ability to align product, engineering, infrastructure, sales, and operations teams.

Preferred Qualifications

• Experience at a leading public cloud provider such as AWS, Microsoft Azure, Google Cloud, OCI, Alibaba Cloud, or Tencent Cloud.
• Experience at CoreWeave, Lambda, Crusoe, Nebius, or a comparable neocloud or GPU cloud platform.
• 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.
• Strong knowledge of NVIDIA’s GPU roadmap, large-model training and inference frameworks, and the broader AI infrastructure ecosystem.

Key Success Metrics