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Technical Program Manager - Cluster Orchestration & Applied Training

Bellevue, WA, US💼 Full-time💰 $237,000–$261,000🗓 2026-07-25 → 2026-07-28

Core

Lead complex, cross-functional programs to improve workload scheduling, self-service provisioning, and the usability of AI training/evaluation workflows on CoreWeave's cluster infrastructure.

Role type

Staff Technical Program Manager (Cluster Orchestration & Applied Training)

Builds

AI/ML Platform Services organization tools and workflows

Domain

Cloud Infrastructure / AI/ML Platforms

Deliverable

product features

Required skills

Technical program management, cross-functional leadership, roadmap definition, stakeholder influence, release readiness, risk management, success metrics definition

Preferred skills

Kubernetes, Slurm, Kueue, Ray, distributed systems, GPU infrastructure, multi-tenant execution, AI training workflows (pre-training, fine-tuning, RL), experiment/sandbox environments, W&B, SkyPilot

Technologies

Kubernetes, Slurm, Kueue, Ray, W&B, SkyPilot

Responsibilities

Drive end-to-end program execution for cluster orchestration initiatives spanning workload scheduling, self-service provisioning, upgrade and migration flows, and platform integrations. Lead cross-functional programs that improve how AI training, evaluation, RL, and mixed workloads run across CoreWeave clusters. Partner with engineering and product leaders to define roadmap priorities and deliver measurable improvements in utilization, reliability, scalability, observability, and user experience. Drive delivery for applied training initiatives across pre-training, fine-tuning, reinforcement learning, sandbox environments, and evaluation systems. Coordinate dependencies across platform engineering, infrastructure, product, customer-facing teams, and ecosystem partners to ensure successful launches and clear operational ownership. Build program mechanisms for release readiness, rollout planning, risk management, stakeholder communication, and post-launch review. Establish success metrics, dashboards, and operating cadences to improve cluster efficiency, workload startup performance, time-to-research, and adoption of new platform capabilities.

Seniority

Staff, hands-on IC with strategic scope

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