Job Summary:
Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. The Senior AI Cloud Product Manager will define and execute a cloud infrastructure and AI platform strategy, leading product vision and execution for AI-native offerings while engaging closely with customers and stakeholders to capture needs and market trends.
Responsibilities:
• Define, communicate, and execute a clear cloud infrastructure and AI platform strategy aligned with business objectives and market opportunities.
• Identify opportunities across cloud computing, hosting services, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Machine Learning operations (MLOps), Model-as-a-Service (MaaS), and AI Agent Platform.
• Own and maintain a strategic technology roadmap for GPU compute (Bare Metal, Virtual Machine, Container), AI Studio, MaaS, and AI Agent Platform.
• Evaluate, propose, and drive adoption of emerging cloud, AI, and MLOps technologies to maintain competitive advantage.
• Lead product vision and execution for AI-native offerings including AI PaaS, AI Studio, Model-as-a-Service, and AI Agent Platform.
• Define products that support the full ML lifecycle — model training, fine-tuning, deployment, inference, and lifecycle management.
• Translate cutting-edge AI capabilities (LLMs, foundation models, AI agents) into scalable, customer-ready services with clear value propositions.
• Gather, document, and prioritize user requirements and product features for cloud, hosting, AI training, inference, and AI agent solutions.
• Engage closely with customers, internal stakeholders, and partners to capture customer needs, market trends, and business priorities.
• Maintain a prioritized product backlog for cloud, hosting, AI Studio, MaaS, and AI Agent features.
• Define and communicate user stories, acceptance criteria, and success metrics for cloud and AI initiatives.
• Define and track AI product KPIs including latency, cost efficiency, model quality, adoption, and customer satisfaction.
Qualifications:
Required:
• 5–10 years of experience as a Product Manager, with at least 3 years focused on cloud infrastructure, AI platforms, or enterprise technology products
• Strong understanding of cloud computing and hosting services, including IaaS, GPU compute, networking, storage, and containerization (Kubernetes)
• Solid knowledge of AI platforms, AI PaaS, Model-as-a-Service, AI agent frameworks, and the end-to-end ML lifecycle
• Hands-on experience defining products that support model training, deployment, inference, fine-tuning, and lifecycle management
• Familiarity with LLMs, foundation models, and AI service abstractions (APIs, SDKs, orchestration)
• Experience defining and managing product roadmaps, PRDs, and backlogs for complex technical platforms
• Proven ability to work closely with engineering, AI research, infrastructure, and cross-functional teams to deliver scalable solutions
• Strong analytical and problem-solving skills with a data-driven decision-making mindset, including experience defining AI product KPIs (latency, cost, quality, adoption)
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders
Preferred:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Data Science, Information Systems, or a related technical field
• Technical education combined with business or product management exposure is a plus
• Experience with cloud pricing, capacity planning, or usage-based billing models is a strong plus
• Cloud infrastructure products (GPU cloud, IaaS, virtualization, Kubernetes, container platforms, networking, storage)
• AI Platform / AI PaaS products (end-to-end ML lifecycle, platform abstractions, developer tooling)
• Model services (model hosting, inference APIs, model versioning, scaling, cost optimization, LLM orchestration)
• AI Agents / Agentic systems (LLM orchestration, tool calling, workflows, multi-agent architectures)
• MLOps tooling (model registry, CI/CD for ML, monitoring, evaluation, performance optimization)
• API-driven products, developer platforms, SDKs, or enterprise SaaS solutions
• GPU-based inference and performance optimization is a plus
Company:
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure. Founded in 2018, the company is headquartered in Singapore, SGP, with a team of 201-500 employees. The company is currently Growth Stage.
