SVP VP Director of Product AI Cloud
Bitdeer is a technology company providing Bitcoin mining solutions.
Maintainer signals as of 9/25/2026
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
About the Role
You will define product strategy, architecture, and roadmaps for an AI cloud platform. You will lead the product portfolio, shape AI training and inference capabilities, own packaging and pricing, translate customer needs into platform features, drive product lifecycles with cross-functional partners, build product processes, and represent the organization in strategic engagements.
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, building, expanding, or commercially 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 workload requirements
- Product strategy, market judgment, and prioritization skills
- Experience with product pricing, cost management, infrastructure utilization, and commercialization
- Leadership and cross-functional execution skills
Responsibilities
- Define AI cloud product strategy, architecture, and long-term roadmap
- 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 platform capabilities
- Drive the product lifecycle from strategy through optimization with cross-functional partners
- Build and lead the AI cloud product organization
- Monitor AI infrastructure, GPU, and cloud-computing trends
- Represent the organization in strategic customer and ecosystem partner engagements