Technical Program Manager - Performance & Benchmarking

What You'll Do: 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. AI/ML TPMs drive alignment and execution across highly technical, cross-functional teams to ensure the successful delivery of customer-facing infrastructure and platform capabilities used by researchers, engineers, and enterprise customers. As a Technical Program Manager, you will lead complex, cross-functional programs across Performance & Benchmarking within our AI/ML Platform Services organization. This team is responsible for ensuring CoreWeave's infrastructure is performant, stable, and validated for demanding AI workloads before and as it reaches customers. The work spans infrastructure verification, benchmarking, observability, and performance readiness across new hardware platforms, clusters, and model workloads. You will partner with engineering, infrastructure, product, capacity, and go-to-market teams to drive programs that improve workload performance, validate new environments, operationalize benchmarking frameworks, and create visibility into how CoreWeave systems perform across models, hardware generations, and deployment contexts. In this role, you will: 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 Who You Are: 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 Experience leading large-scale cross-functional programs involving performance engineering, benchmarking, validation systems, or infrastructure readiness Strong technical 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 Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 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. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical c