Ai Infrastructure Site Operations Managers

DAMAC is hiring an Ai Infrastructure Site Operations Managers. Level rates it ; you can apply on DAMAC.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
DAMAC has 31 other open roles on Level.
Posted in the last few days.

AI in this role

The AI Infrastructure Site Operations Manager is the single accountable leader for end-to end GPU infrastructure operations at a DAMAC AI regional data center location. This role owns the 24/7 operational health, availability, and performance of all NVIDIA GPU cluster environments â managing a cross-functional team of AI Systems Engineers, Network & Security Engineers, AI Platform Engineers, and Site Resilience Engineer

Regional GPU Infrastructure Operations

Own the operational health and availability of all NVIDIA DGX B300 / GB300 and HGX B300 / GB300 GPU cluster environments at the regional site â achieving and sustaining â¥99.9% infrastructure uptime

Serve as the single point of operational accountability for the regional site â escalation owner for all P1 and P2 infrastructure incidents

Manage and coordinate 24/7 operations coverage across AI Systems, Network & Security, Platform, and Site Resilience engineering teams

Oversee physical data center operations including power, cooling, physical security, and facility management in coordination with data center facility teams

Ensure all GPU cluster operations comply with NVIDIA NCP reference architecture operational standards and certification requirements

Maintain operational readiness for all compute, storage, fabric, and software stack components across the regional portfolio

Team Leadership & People Management

Lead, manage, and develop a regional team of 8â15 engineers spanning AI Systems, Network & Security, Platform, and Site Resilience disciplines

Define team structure, shift rotations, on-call rotas, and escalation paths to ensure 24/7 operational coverage with no single point of failure

Conduct regular 1:1s, team performance reviews, and career development conversations â driving retention and capability growth

Build a high-performance, collaborative operations culture with a strong focus on reliability, accountability, and continuous improvement

Partner with VP Technology and HR to recruit, onboard, and develop engineering talent aligned to NVIDIA NCP operational requirements

Define training and certification plans for the team â ensuring all engineers maintain relevant NVIDIA, vendor, and professional certifications

Incident Management & Service Continuity

Lead and own P1 and P2 incident response for all regional GPU infrastructure events â ensuring rapid detection, containment, recovery, and communication within defined SLAs

Chair post-incident reviews and blameless post-mortems â ensuring root cause analysis is completed, findings documented, and remediation actions tracked to closure

Maintain and exercise incident response runbooks covering GPU node failure, InfiniBand fabric partition, storage cluster loss, power/cooling failure, and security incidents

Manage the on-call escalation framework ensuring 24/7 P1 response within 15 minutes across all regional engineering teams

Report incident trends, MTTR performance, and reliability improvements to VP Technology through weekly and monthly operations reviews

How we rate this

Ai Infrastructure Site Operations Managers at DAMAC rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.