Product Manager

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.

W&B Models is the experiment tracking platform used by the world's leading AI teams, from frontier labs training foundation models to enterprise teams fine-tuning for production. As Senior Product Manager for Models, you'll drive improvements across the core experiment workflow: how researchers design experiments, visualize what's happening inside them, monitor long-running training jobs, and analyze results across hundreds or thousands of runs.

• Advance the researcher's daily workflow: drive the roadmap for how runs are organized, compared, and understood.
• Rethink how training is visualized and monitored: shape how W&B surfaces what matters mid-run — loss curves, system metrics, evals, anomalies — across web and mobile.
• Make evaluations a first-class part of experiment tracking: drive the roadmap for logging, comparing, and analyzing eval results within Models.
• Make analysis at scale a first-class experience: define how researchers slice, aggregate, and reason across large experiment histories.
• Ground every decision in how researchers actually work: spend real time with users and translate learnings into product decisions.
• Ship with quality and speed: own execution from problem definition through launch and iteration.

• You've lived the ML researcher's workflow: trained models yourself or worked closely with researchers.
• 3+ years of product management experience on technical products for developer or researcher audiences.
• Strong instincts for data visualization and product design.
• You reach for AI tools instinctively: Claude, Codex, and agentic workflows.
• Technically fluent: can read a training script, discuss evaluation methodology, and hold architecture conversations with engineers.
• Communicate with clarity and precision.

• Hands-on experience with experiment tracking tools.
• Experience with enterprise ML platforms or fine-tuning services (SageMaker, Vertex, Databricks, Together, Fireworks).
• Public technical writing.
• "AI Twitter" presence or participation.
• Experience conducting user research and/or engaging in developer communities.

• The base salary range for this role is $182,000 to $242,000.
• Total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program.