Teams at Anthropic

Convert demand forecasts into per-tranche requirements, qualify deliverability pre-signature, run and track parallel bring-ups across clouds and sites, own the contract-to-occupied lifecycle, automate readiness, and publish executive reporting on timing, utilization, and paid-idle metrics.

Own medium-range, multi-resource demand forecasts (accelerators, CPU, storage, network, managed services). Reconcile plan vs. observed utilization weekly, qualify incoming capacity tranches, and partner with finance to translate forecasts into cost drivers and efficiency work. Build models and instrumentation (SQL, Python/pandas) and drive variance toward zero with planning tools and data teams.

Lead deployment and runtime operations for ML safety systems: configure and verify safeguards across platforms, run canary rollouts and validations, automate launch runbooks into pipelines, maintain a provenance-backed safeguards registry, and participate in on-call and incident response for safety-critical model releases.