VP, AI Cloud Platform & GPU Infra

Bitdeer (NASDAQ: BTDR); Penang; On-site; MYR 400,000 - 650,000; Full time

Benefits offered by this job

Welfare benefits

Training & mentoring

Job summary

Bitdeer seeks a SVP/VP/Director of Product to lead the AI cloud infrastructure platform. You will shape the product strategy, roadmap, and go-to-market across GPU compute, bare metal, containers, and storage, partnering with engineering, sales, and solutions teams to scale a unified cloud offering.

The role requires deep experience in cloud and AI infrastructure, strong leadership, and a track record of building or expanding cloud platforms for enterprise customers.

Qualifications

• 10+ years of experience in cloud computing, infrastructure, or enterprise technology products.
• Experience leading products or product teams.
• Experience with public cloud, GPU cloud, AI infrastructure platforms.
• Ability to define strategy, roadmap, and commercialization plans.

Responsibilities

• Define the overall product strategy, architecture, and long-term roadmap for the AI cloud platform.
• Lead the product portfolio across GPU compute, bare metal, containers, networking, storage.
• Define direction for AI training, inference, deployment, and serverless inference.
• Own packaging, pricing, metering, SLA design, and revenue accountability.
• Translate customer needs into standardized platform capabilities for AI companies and enterprises.
• Collaborate with engineering, infra, operations, sales, and solutions teams through lifecycle.
• Build and lead the AI cloud product organization with scalable processes.
• Monitor AI infrastructure trends and represent the company in partnerships.

Skills

Leadership

Cloud computing

Product strategy

Cross-functional collaboration

Market awareness

Strategic thinking

Pricing strategies

Job description

Bitdeer seeks a SVP/VP/Director of Product to lead the AI cloud infrastructure platform. You will shape the product strategy, roadmap, and go-to-market across GPU compute, bare metal, containers, and storage, partnering with engineering, sales, and solutions teams to scale a unified cloud offering.

The role requires deep experience in cloud and AI infrastructure, strong leadership, and a track record of building or expanding cloud platforms for enterprise customers.