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Bitdeer is seeking a SVP/VP/Director of Product to lead the product strategy for their AI cloud infrastructure platform, focusing on GPU cloud computing.
About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence. Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.
- 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.
- 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.
- A culture that values authenticity and diversity of thoughts and backgrounds;
- An inclusive and respectable environment with open workspaces and exciting start-up spirit;
- Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
- Ability to contribute directly and make an impact on the future of the digital asset industry;
- Involvement in new projects, developing processes/systems;
- Personal accountability, autonomy, fast growth, and learning opportunities;
- Attractive welfare benefits and developmental opportunities such as training and mentoring.