Senior Manager Service Operations and Enablement
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will establish and maintain operational readiness requirements and acceptance processes for infrastructure deployments. You will develop on-premises operations and maintenance models, define support boundaries and escalation paths, and document operational ownership. You will build role-based training, certification, competency, and knowledge-management programs. You will also assess prospective data center environments and translate engineering knowledge into repeatable procedures.
Requirements
- 8+ years 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.
- Experience 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.
- Ability to translate complex technical knowledge into scalable operational processes.
Responsibilities
- Define and maintain Ready-for-Service requirements.
- Own the operational acceptance process between Build & Deploy and production operations.
- Establish Operational Readiness Reviews for new clusters and major changes.
- Ensure monitoring, alerting, runbooks, escalation, support, spares, maintenance, and operator-readiness requirements are satisfied.
- Identify readiness gaps and drive them to closure.
- Measure technical completion-to-operational acceptance performance.
- Define scalable operations and maintenance models for customer on-premises deployments.
- Define operational boundaries and escalation paths.
- Build training, competency, and certification frameworks for infrastructure operators.
- Develop role-based curricula, practical drills, and simulations.
- Establish and maintain operational knowledge-management standards for runbooks, SOPs, procedures, and playbooks.
- Assess prospective data center environments for operational suitability.
Benefits
- Job stability with startup vitality.
- A work culture that respects individual beliefs.