# Staff Product Manager, Training Infrastructure - Weights & Biases  at CoreWeave

CoreWeave is hiring a Staff Product Manager, Training Infrastructure - Weights & Biases  in New York, San Francisco and Sunnyvale, United States. It pays $188k-$275k a year and Level rates it Works on AI ●●●○; you can [apply on CoreWeave](https://jobsbylevel.com/go/bcb85016-c212-4d34-8c1e-a4e615d2665e?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA .

## Details

- Company: [CoreWeave](https://jobsbylevel.com/companies/coreweave)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA 
- Salary: $188k-$275k
- Posted: January 8, 2026
- Apply: https://jobsbylevel.com/go/bcb85016-c212-4d34-8c1e-a4e615d2665e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-product-manager-training-infrastructure-weights-biases-at-coreweave-8dda7f

## Prepare for this job

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## 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 Training a frontier model is as much an infrastructure problem as it is a modeling problem. When a run fails at hour 47 of a 72-hour job, the question is almost never "what's wrong with the code" — it's "what happened on the cluster." Node failures, network timeouts, storage bottlenecks, and scheduling decisions determine whether training runs succeed or fail, how much they cost, and how fast teams can iterate. Until now, the developer tools and the infrastructure telemetry have lived in completely separate worlds. The CoreWeave acquisition changes that. W&B can now build products that connect application-level experiment tracking with cluster health, hardware telemetry, and compute orchestration — a surface area that's hard to assemble without owning both the developer tools and the infrastructure. Reporting to the Director of Product Management, this Staff Product Manager will own the strategy and execution for the products at this intersection: W&B Launch (job submission and compute orchestration), infrastructure insights that leverage CoreWeave's unique telemetry and platform capabilities, and new product concepts — including agentic and automated research workflows — that only exist because W&B and CoreWeave are now one company. Sandboxes (managed development environments) are also part of this surface, but the core opportunity is building infrastructure-native developer tools that take advantage of the combined platform. You'll be working directly with frontier model builders — teams training on thousands of GPUs — to understand what they need and ship it. If you're energized by solving infrastructure challenges that directly accelerate deep learning workflows, collaborating with the world’s best AI teams, and delivering tools that move the industry frontier forward, his role is for you. What You'll Do Define and ship infrastructure-native products that only W&B + CoreWeave can build. This is the core of the role. The integration between W&B's experiment tracking and CoreWeave's infrastructure platform opens a new product surface — giving researchers visibility and control that spans their code, their runs, and the machines those runs execute on. You'll identify the highest-value opportunities in this design space, build conviction around them, and drive the roadmap from concept through launch and iteration. Own W&B Launch and evolve it for the CoreWeave era. Launch is W&B's job submission and compute orchestration product. Today it helps teams submit training jobs to Kubernetes clusters and cloud providers. As part of a vertically integrated AI platform, Launch can go further — with deeper infrastructure awareness and the ability to serve as the orchestration layer for agentic and automated research workflows. You'll set the vision for what that looks like and ship it. Spend real time with frontier AI teams and learn how they actually work. Foundation model builders are your primary customers. You'll spend significant time in their workflows — understanding how they manage infrastructure, debug failures, orchestrate computation, and increasingly automate their research processes. These conversations will directly shape the product roadmap. Build the bridge between W&B product and CoreWeave platform engineering. This role sits at the seam between two organizations that are becoming one. You'll partner with CoreWeave's infrastructure and platform teams to identify integration

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Source: https://jobsbylevel.com/jobs/staff-product-manager-training-infrastructure-weights-biases-at-coreweave-8dda7f

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