Technical Program Manager – Cluster Orchestration & Model Benchmarking at CoreWeave

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Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

237000.0

Posted On

08 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Program Management, Distributed Systems, Cloud Infrastructure, AI/ML Platform Engineering, GPU Compute, Distributed Inference Systems, Container Orchestration, Cloud-Native Architectures, Performance Optimization, Model Onboarding Workflows, Observability Tooling, ML Workloads, GPU Resource Management, Technical Program Structures, Cross-Functional Collaboration, Communication Skills

Industry

technology;Information and Internet

Description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the role CoreWeave’s AI/ML Platform Services organization builds the distributed systems that power large-scale inference workloads across our GPU-accelerated cloud. As a Technical Program Manager focused on distributed inference, model onboarding, and runtime optimization, you will drive programs that enable AI models to serve billions of inferences reliably and efficiently. You’ll partner closely with engineering, product, and marketing teams to deliver scalable, performant model-serving systems—reducing latency, improving GPU utilization, and making it easier for customers and internal teams to onboard and optimize AI models on CoreWeave. This role is ideal for someone who thrives in complex, cross-functional environments, has deep technical fluency in distributed systems or ML infrastructure or Gen AI, and excels at creating structure, visibility, and execution rhythm across multiple teams. In this role, the TPM will Drive end-to-end program management for distributed inference platform initiatives, including scaling, reliability, and performance optimization. Lead cross-functional programs for model onboarding — defining standardized workflows for integrating, validating, and deploying customer and foundation models on CoreWeave. Partner with engineering and product to define and deliver roadmap outcomes for serving throughput, latency, and cost efficiency. Coordinate multi-team execution across AI runtime, GPU infrastructure, and DevOps to deliver high-availability inference services. Build and operationalize success metrics, dashboards, and launch gates to measure reliability, efficiency, and quality across the inference stack. Collaborate with Product, Engineering, and Marketing on GTM readiness — ensuring technical enablement, documentation, and launch processes align with customer adoption and commercial rollout timelines. Establish repeatable processes for rollout management, performance regression tracking, and postmortem analysis. Create and lead operating cadences (program reviews, launch readiness, and retrospectives) to improve visibility and execution velocity. Collaborate with other TPMs and technical leads across CoreWeave to ensure platform-wide alignment on reliability, scalability, and release practices. Minimum Qualifications Bachelor’s degree in a technical field or equivalent experience. 8+ years of program management experience in distributed systems, cloud infrastructure, or AI/ML platform engineering. Proven experience driving large-scale serving or infrastructure programs from concept to production. Strong technical fluency in GPU compute, distributed inference systems, container orchestration, and cloud-native architectures. Demonstrated success in driving measurable improvements in performance, reliability, or operational efficiency. Excellent written and verbal communication skills, with the ability to align engineering, product, and leadership stakeholders around shared goals. Additional Qualifications Familiarity with inference-serving frameworks (e.g., vLLM, SGLang).5 Experience with model onboarding workflows, rollout strategies, and observability tooling (Prometheus, Grafana). Understanding of ML workloads, GPU resource management, and performance optimization techniques. Experience defining or maturing technical program structures across multiple teams in a high-growth or startup environment. The base salary range for this role is $161,000 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 compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: 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 Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Responsibilities

Drive end-to-end program management for distributed inference platform initiatives, focusing on scaling, reliability, and performance optimization. Collaborate with engineering, product, and marketing teams to deliver scalable model-serving systems and improve customer onboarding and optimization processes.