Teams at Cerebras Systems Inc.

Lead product strategy and execution for strategic AI customers: embed with lighthouse accounts, design PoCs showcasing ultra-low-latency inference, advise on model selection and long-term AI strategy, drive adoption and expansion, and translate customer insights into roadmap priorities across product, engineering, and GTM teams.

Design, build, and operate CI/CD, Kubernetes-based platforms, deployment automation, and observability for engineering workflows. Improve reliability, performance, and scalability across cloud and on-prem environments, debug cross-boundary failures, perform root-cause analysis, and deliver durable platform software and self-service tooling.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.