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
Create clarity across ambiguous technical programs by aligning stakeholders, surfacing tradeoffs early, and driving decisions to resolution
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
8+ years of technical program management experience in cloud infrastructure, distributed systems, or AI/ML platforms
Experience leading large-scale cross-functional programs involving scheduling systems, cluster infrastructure, or ML platform capabilities
Strong technical fluency in Kubernetes, Slurm or comparable schedulers, distributed systems, and AI training workflows
Demonstrated ability to define program metrics and deliver measurable outcomes in performance, reliability, scale, or operational maturity
Excellent communication skills, with experience influencing engineering, product, and executive stakeholders
Experience with orchestration and scheduling technologies such as Kubernetes, Slurm, Kueue, Ray, or similar systems
Familiarity with modern AI training and evaluation workflows, including pre-training, supervised fine-tuning, reinforcement learning, and experiment or sandbox environments
Understanding of GPU infrastructure, cluster capacity planning, multi-tenant execution, and distributed training tradeoffs
Experience building launch processes, release governance, dependency management, and operational review mechanisms in fast-scaling environments
Familiarity with AI developer and research tooling such as W&B, SkyPilot, or adjacent ecosystem platforms
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Act Like an Owner
Empower Employees
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Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption