Senior Manager, Service Operations & Enablement
Cerebras is hiring a Senior Manager, Service Operations & Enablement for a remote role open to applicants in United States. Level rates it ; you can apply on Cerebras.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions OpenAI, AI research and operations among its tools and skills.
- Cerebras has 121 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Owns operational readiness, lifecycle support, and enablement for high-performance AI chip infrastructure deployments.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
The Role
As Cerebras infrastructure expands across colocation facilities and customer on-premises environments, successful installation is only the beginning. Every deployment must transition from technically complete to operationally ready, and the people responsible for operating it must have the knowledge, procedures, and capabilities required to do so successfully.
We are seeking a Senior Manager, Service Operations & Enablement to own this transition and build the operating capabilities required to support Cerebras infrastructure throughout its service lifecycle.
This leader will own Operational Readiness, On-Prem O&M, Operator Enablement, Training & Certification, and operational due diligence for new infrastructure environments.
Mission
Ensure every Cerebras deployment can successfully enter and remain in production by establishing operational readiness, enabling the people who operate it, and creating a repeatable O&M model across Cerebras-operated, partner-operated, and customer-operated environments.
Responsibilities
Own Operational Readiness
Define and maintain Cerebras 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.
Analyze early-life production issues and improve readiness criteria accordingly.
Build the On-Prem O&M Model
Define scalable O&M models for customer on-premises deployments.
Establish responsibilities for Cerebras-managed, jointly operated, and customer-operated environments.
Define L1/L2/L3 operational boundaries and escalation paths.
Establish maintenance, support, service, and operating procedures.
Ensure each deployment has a clearly documented operational ownership model.
Develop mechanisms that allow customer environments to become increasingly operationally independent where appropriate.
Own Learning, Training & Certification
Build the training and competency framework for people operating Cerebras infrastructure.
Develop training for Central Ops, SiteOps/DC Ops technicians, partners, and customer operators.
Establish role-based curricula covering Cerebras systems, cluster operation, monitoring, troubleshooting, maintenance, escalation, and recovery.
Establish operator qualification/certification standards.
Maintain competency matrices defining which activities operators are qualified to perform.
Develop refresher training and requalification mechanisms.
Create practical drills and simulations for critical operational scenarios.
Own Operational Knowledge
Establish the operational knowledge-management framework.
Own standards and lifecycle management for runbooks, SOPs, troubleshooting procedures, and operational playbooks.
Translate Engineering knowledge into repeatable operational procedures.
Ensure incident and reliability learnings are incorporated into procedures and training.
Reduce dependence on tribal knowledge and individual Cerebras experts.
New DC Operational Due Diligence
Partner with the Colocation/DC Contracts organization to evaluate the operational suitability of prospective data center environments.
Assess remote-hands capability, staffing and coverage, response SLAs, site access, receiving/logistics capability, spare-parts storage, escalation procedures, maintenance practices, incident response, serviceability, and operational support maturity.
Provide operational requirements and recommendations into the commercial contracting process while the Colo/DC Contracts organization retains commercial ownership.
What Success Looks Like
Cerebras has a formal, repeatable Ready-for-Service process.
Technical Completion and Operational Acceptance are clearly differentiated.
New production environments have defined ownership, monitoring, escalation, procedures, and support models.
Cerebras and SiteOps operators have defined competency requirements.
Customer-operated deployments have standardized O&M models.
Training effectiveness is measured through competency rather than attendance.
Operational documentation is authoritative, current, and discoverable.
Time from technical completion to operational acceptance decreases.
Readiness-related early-life incidents decrease.
Customer and partner operators resolve a growing proportion of routine operational issues independently.
Qualifications
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/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 turn complex technical knowledge into scalable operational processes.
Preferred Qualifications
AI/HPC, large-scale compute, data center, cloud, or semiconductor systems experience.
Experience supporting customer on-premises infrastructure.
Experience developing O&M programs.
Experience building training/certification programs for complex technical systems.
Experience performing operational assessments of data center/service-provider environments.
Leadership Characteristics
We are looking for someone who thinks like an operator, communicates like a service leader, and teaches like an engineer - someone who creates standards without unnecessary bureaucracy and measures enablement through demonstrated operational capability.
Why This Role Matters
Cerebras cannot scale globally if every deployment depends indefinitely on a small number of Cerebras experts. This role turns Cerebras operational knowledge into a repeatable capability that can travel with every cluster we deploy.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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How we rate this
Senior Manager, Service Operations & Enablement at Cerebras rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where operations was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where hardware was part of your work. What did you do?
- Tell me about a project where enablement was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Operations, Infrastructure, Hardware, and Enablement. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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