Senior Manager, Service Operations & Enablement (AI)

Location: Sunnyvale, CA, United States; hybrid

Company

hirify.global builds large-scale AI chips and infrastructure that deliver high-speed training and inference for model labs, enterprises, and AI-native startups.

What you will do

• Own Ready-for-Service requirements and the operational acceptance process for new clusters and major infrastructure changes.
• Establish operational-readiness reviews covering monitoring, alerting, runbooks, escalation, support, spares, maintenance, and operator readiness.
• Define scalable O&M models, operational ownership, L1/L2/L3 boundaries, escalation paths, and support procedures for hirify.global-operated, partner-operated, and customer-operated environments.
• Build role-based training, competency, certification, refresher, and practical-drill programs for Central Ops, SiteOps/DC Ops technicians, partners, and customer operators.
• Own the lifecycle of runbooks, SOPs, troubleshooting procedures, operational playbooks, and reliability knowledge.
• Assess prospective data center environments and provide operational requirements for colocation and data center contracting decisions.

Requirements

• 8+ years of experience in infrastructure operations, service operations, technical enablement, customer infrastructure, production readiness, or related technical fields.
• 3+ years leading teams or significant technical programs.
• Experience operationalizing complex hardware and software infrastructure and establishing service-transition or operational-readiness processes.
• Strong understanding of production infrastructure operations and support models.
• Experience developing technical training, competency, certification, or knowledge-management programs.
• Strong customer-facing and cross-functional communication skills, with the ability to turn complex technical knowledge into scalable operational processes.

Nice to have

• Experience with AI/HPC, large-scale compute, data centers, cloud, or semiconductor systems.
• Experience supporting customer on-premises infrastructure and developing O&M programs.
• Experience building training and certification programs for complex technical systems.
• Experience assessing data center or service-provider operational environments.

Culture & Benefits

• Opportunity to build an AI platform beyond GPU constraints and work with advanced AI hardware.
• Exposure to one of the fastest AI supercomputers and cutting-edge AI research.
• Startup vitality combined with job stability.
• Simple, non-corporate culture that respects individual beliefs.
• Environment focused on continuous learning, growth, inclusion, and support.