AI/ML Platform TPM — Performance & Benchmark Lead

CoreWeave

Livingston (NJ)

On-site

USD 177,000 - 237,000

Full time

3 days ago

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Benefits offered by this job

Medical, dental, and vision insurance

Equity awards

401(k) match

Tuition Reimbursement

ESPP

Mental wellness benefits

Parental leave

Flexible PTO

Catered lunches

Job summary

CoreWeave is seeking an experienced Technical Program Manager to lead cross-functional programs across our AI/ML Platform Services organization. You will drive performance verification, benchmarking, and release readiness for new hardware, clusters, and software environments, partnering with engineering, infrastructure, product, and capacity teams.

You will define program metrics, build benchmarking frameworks, and translate findings into roadmaps and customer readiness.

Qualifications

Bachelor's degree in CS/Engineering or equivalent practical experience.
5+ years of TPM experience in cloud infrastructure, distributed systems, or AI/ML platforms.
Experience leading large-scale cross-functional programs involving performance engineering, benchmarking, validation systems, or infrastructure readiness.
Strong fluency in distributed systems, GPU or accelerator-based infrastructure, workload performance measurement, and large-scale infrastructure operations.
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.
Experience with AI/ML benchmarking, performance analysis, or infrastructure validation for training and inference workloads.
Familiarity with GPU cluster architecture, workload observability, hardware bring-up, and performance bottleneck analysis.
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.

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.
Lead cross-functional efforts to operationalize benchmarking frameworks that measure model performance, runtime efficiency, GPU utilization, and workload reliability across environments.
Coordinate 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.
Build program mechanisms for release readiness, benchmark planning, risk management, issue escalation, and post-launch review for performance-sensitive infrastructure initiatives.
Establish 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.