The posting
About Bitdeer:
Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan.
Job Summary Bitdeer AI Cloud is building next-generation cloud and AIinfrastructure, including GPU compute, AI Studio, Model-as-a-Service (MaaS),and AI Agent Platform, to support large-scale AI training and inferenceworkloads. We are seeking a Senior AI Cloud Product Manager to lead thestrategy, roadmap, and execution of our cloud infrastructure and AI platformofferings.
This role sits at the intersection of cloud infrastructure,AI platforms, and business strategy, working closely with cloud infrastructure,AI engineering, MLOps, security, and go-to-market teams to deliver scalable,secure, and high-performance cloud and AI solutions. The ideal candidate is aproduct leader who thrives in fast-paced, technically complex environments andis passionate about shaping the future of AI infrastructure.
What you will be responsible for:
- 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 aService (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, VirtualMachine, 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, AIStudio, 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.
How you will stand out:
- 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
- Experience with cloud pricing, capacity planning, or usage-based billing models is a strong plus
- Talent Model（internally used for CVscreen/interview only，not included in JD):
- Preferred Education Background:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, MachineLearning, Engineering, Data Science, Information Systems, or a related technical field
- Technical education combined with business or product management exposure is a plus
What you will experience working with us:
- 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.
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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.
