SVP VP Director of Product AI Cloud
Bitdeer is a technology company providing Bitcoin mining solutions.
Funding history
Investors
Projects
About Bitdeer
Bitdeer provides full-spectrum Bitcoin mining and high-performance computing solutions, including SEALMINER mining equipment, Minerbase cooling containers, cloud mining, co-mining, mining management applications, mining rights marketplaces, and large-scale data center operations. The company also offers AI cloud infrastructure with GPU computing, model training and deployment capabilities, and turnkey AI data center solutions for enterprise customers and developers. Bitdeer is headquartered in Singapore and operates globally.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead product strategy, architecture, and roadmap development for an AI cloud platform. You will manage GPU compute, infrastructure, AI training and inference product capabilities, pricing, metering, SLAs, and commercialization. You will translate customer needs into scalable products, lead product operations, and coordinate delivery across engineering, infrastructure, operations, sales, and solutions functions.
Requirements
- 10+ years of experience in cloud computing, infrastructure, or enterprise technology products
- Experience leading products or product teams
- Product experience with a major public cloud, GPU cloud, AI infrastructure platform, or neocloud provider
- Experience owning a major cloud product line or scaling a cloud platform
- Understanding of GPU computing, cloud infrastructure, resource scheduling, networking, storage, containers, metering, and billing
- Familiarity with large-model training, inference, model serving, and AI workloads
- Experience with product pricing, cost management, infrastructure utilization, and commercialization
- Leadership and cross-functional execution skills
Responsibilities
- Define the product strategy, architecture, and long-term roadmap for the AI cloud platform
- Lead the product portfolio across GPU compute, bare metal, containers, networking, storage, and resource management
- Define product direction for AI training, inference, model deployment, and serverless inference
- Own product packaging, business models, pricing, metering, and SLA design
- Translate customer requirements into standardized and repeatable platform capabilities
- Drive the product lifecycle from strategy and development through launch, adoption, and optimization
- Build and lead the AI cloud product organization
- Monitor AI infrastructure, GPU technology, and cloud computing trends
