Director, AI Data Center Integration

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia. To learn more, visit https://ir.bitdeer.com/

We are seeking a visionary and operationally proven Director of AI Data Center Integration to lead the end-to-end delivery, integration, and commissioning of next-generation AI data center facilities. This role is critical to enabling the rapid scaling of AI and HPC infrastructure and will serve as the operational backbone for bringing hyperscale AI environments online — on time, at scale, and with zero compromise on reliability.

The ideal candidate brings deep hyperscale data center operations expertise, strong program leadership credentials, and hands-on experience integrating AI/HPC-specific infrastructure including high-density compute, advanced power and cooling systems, and mission-critical networking fabrics.

Integration Program Leadership

• →Own the end-to-end integration lifecycle for AI data center builds — from design review and equipment staging through commissioning, cutover, and operational handoff.
• →Lead multi-disciplinary teams spanning networking, compute, GPU infrastructure, critical facilities, and vendor partners to deliver fully integrated AI data halls on schedule.
• →Develop and govern integration frameworks, MOPs/SOPs/EOPs, and readiness gates across all deployment phases.
• →Manage program-level dependencies, risks, and escalations across global and regional builds simultaneously.

AI / HPC Infrastructure Operations

• →Drive operational readiness for AI and HPC workloads including GPU clusters, high-bandwidth networking fabrics, and storage systems.
• →Partner with AI infrastructure engineering teams to validate system integration, performance benchmarks, and operational baselines prior to production acceptance.
• →Own SLO definitions, availability targets, and operational performance metrics for newly integrated AI data center environments.
• →Lead incident command for high-severity integration and commissioning events; drive root cause analysis and corrective action plans.

Critical Facilities & Capacity Scaling

• →Coordinate with critical facilities teams on power (EPMS), cooling, and BAS systems to support high-density AI infrastructure deployments.
• →Drive capacity planning processes to align facility readiness with AI infrastructure growth roadmaps.
• →Ensure data center environments meet power, thermal, and physical density requirements specific to AI/HPC workloads.
• →Partner with construction and design teams on new facility development to embed integration best practices early in the build cycle.

Vendor & Partner Governance

• →Direct external vendors, integrators, and contractors across electrical, mechanical, networking, and compute domains.
• →Establish and enforce vendor performance standards, SLAs, safety requirements, and quality benchmarks.
• →Manage complex multi-vendor environments with accountability for delivery timelines and operational outcomes.

Organizational Leadership

• →Build, develop, and lead a high-performing team of integration engineers and program managers.
• →Define team structure, roles, and career development pathways aligned to a rapidly scaling AI infrastructure organization.
• →Foster a culture of operational excellence, safety, and continuous improvement across integration teams.

Strategy & Operational Excellence

• →Drive automation, observability, and tooling improvements to accelerate integration cycles and reduce operational toil.
• →Establish and iterate on metrics, dashboards, and reporting cadences to provide executive visibility into integration program health.
• →Champion process standardization and operational best practices across a global portfolio of AI data center deployments.

• →A culture that values authenticity and diverse perspectives.
• →An inclusive, respectful environment with open workspaces and an energetic, start-up spirit.
• →A fast-growing company with opportunities to network with industry pioneers and enthusiasts.
• →The ability to contribute directly and make an impact on the future of the digital asset and AI computing industry.
• →Involvement in new projects and in developing processes/systems.
• →Personal accountability, autonomy, rapid growth, and learning opportunities.
• →Attractive benefits and development such as training and mentoring.

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, color, 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.

• 10+ years of progressive experience in data center operations, infrastructure program management, or systems integration in hyperscale environments.
• Demonstrated leadership of multi-site data center programs delivering significant capacity (100+ MW or equivalent data hall scale).
• Deep expertise in AI/HPC infrastructure, including GPU compute environments, high-bandwidth networking (InfiniBand, RoCE, or similar), and associated power/cooling requirements.
• Hands-on experience with critical facilities systems (EPMS, BAS, UPS, generators, advanced cooling), including commissioning and operational readiness.
• Proven track record managing cross-functional organizations of engineers, program managers, and vendor teams in 24/7 mission-critical environments.
• Experience leading incident command for high-severity events and driving root cause analysis to systemic resolution.
• Strong executive communication and stakeholder management skills; ability to present program status and risks to senior leadership.
• Experience with hyperscale cloud providers (AWS, Azure, GCP, OCI) or large-scale AI infrastructure buildouts preferred.
• Background in construction or commissioning of greenfield or brownfield data center facilities preferred.
• Familiarity with MOP/SOP/EOP procedures and data center safety standards (OSHA, NFPA, NEC).
• Industry certifications preferred: DCIS, DCOS, DCOM, PMP, or equivalent.
• Bachelor’s degree in Information Systems, Engineering, Computer Science, or a related technical discipline.