Technical Program Manager - Performance & Benchmarking

About the role

The AI/ML TPM team owns delivery and execution across CoreWeave's AI/ML Platform Services organization. The team partners closely with Product, Engineering, Research, Infrastructure, and Go-to-Market teams to deliver scalable, reliable, and high-performance platforms that support the full AI lifecycle.

Responsibilities

• Drive end-to-end program execution for performance and benchmarking initiatives spanning infrastructure validation, performance testing, benchmark execution, observability, and launch readiness.
• Partner with engineering and infrastructure teams to deliver programs that verify new hardware platforms, clusters, and software environments meet CoreWeave standards for performance and stability.
• Operationalize benchmarking frameworks that measure model performance, runtime efficiency, GPU utilization, and workload reliability across environments.
• Cook dependencies across platform engineering, infrastructure, capacity, product, and go-to-market teams to ensure performance findings are translated into roadmap priorities, customer readiness, and external proof points.
• Create program mechanisms for release readiness, benchmark planning, risk management, issue escalation, and post-launch review for performance-sensitive infrastructure initiatives.
• Build dashboards, operating cadences, and success metrics to improve performance visibility, infrastructure validation coverage, benchmark repeatability, and time-to-readiness for new platforms.
• Help drive prioritization across performance bottlenecks, test gaps, and benchmark requests by aligning stakeholders on goals, tradeoffs, and measurable outcomes.
• Create clarity across ambiguous technical programs by aligning teams around performance goals, validation criteria, and execution milestones.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

5+ years of technical program management experience in cloud infrastructure, distributed systems, high-performance computing, or AI/ML platforms.

Strong technical fluency in distributed systems, GPU or accelerator-based infrastructure, workload performance measurement, and large-scale infrastructure operations.

Qualifications

Demonstrated ability to define program metrics and drive measurable outcomes in performance, reliability, scale, or operational maturity.

Excellent communication skills, with experience influencing engineering, product, and infrastructure stakeholders.

Familiarity with AI/ML benchmarking, performance analysis, or infrastructure validation for training and inference workloads.

Understanding of benchmarking methodologies, reproducibility, test coverage, and the tradeoffs between performance, stability, utilization, and customer readiness.

Experience building launch processes, release governance, dependency management, and operational review mechanisms in fast-scaling environments.

Familiarity with translating technical performance data into actionable decisions for product, customer, or go-to-market audiences.

Skills

Technical fluency in distributed systems, GPU or accelerator-based infrastructure, workload performance measurement, and large-scale infrastructure operations.

Strong communication and stakeholder influence skills.

Familiarity with AI/ML benchmarking, performance analysis, or infrastructure validation for training and inference workloads.

Experience with launch processes, release governance, dependency management, and operational review mechanisms in fast-scaling environments.

Ability to translate technical performance data into actionable decisions for product, customer, or go-to-market audiences.

Benefits

The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

• 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

Pay

The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

Schedule

CoreWeave offers a flexible schedule to accommodate the diverse needs of its employees.