CoreWeave
Senior Product Manager, W&B Models
$182K–$242K
Bellevue, WA / San Francisco, CA / Sunnyvale, CA +3 · Manager · Full-time · Posted Aug 28, 2026
- Location
- Bellevue, WA / San Francisco, CA / Sunnyvale, CA
Bellevue, WA
San Francisco, California, United States
Sunnyvale, California, United States - Experience
- 3+ years of product management experience.
- Visa sponsorship
- Requires eligibility to access export-controlled information: U.S. person status, eligibility to access without export authorization, or eligibility and reasonable likelihood of obtaining required authorization. CoreWeave may decline to pursue export licensing.
About the job
Lead the roadmap and delivery of W&B Models’ experiment-tracking workflows, helping ML teams monitor training, evaluate models, and analyze experiments at scale.
What you'll do
- Improve how researchers organize, compare, visualize, and monitor experiments and training runs.
- Make evaluation logging and analysis, including across runs and training steps, part of the experiment-tracking workflow.
- Conduct user research and own product execution from problem definition through launch and iteration.
What they ask for
- 3+ years of product management experience on technical products for developer or researcher audiences.
- Experience training models or working closely with researchers and understanding their workflows.
- Strong data-visualization and product-design judgment; technical fluency in ML training and evaluation.
- Clear communication with engineering, design, and go-to-market stakeholders.
Nice to have
- Hands-on experience with experiment-tracking tools or enterprise ML platforms and fine-tuning services.
- Public technical writing, participation in AI communities, or experience conducting user research and engaging developer communities.
Pay
USD 182,000 to USD 242,000 base salary
Tools
W&B, SageMaker, Vertex, Databricks, Together, Fireworks, Claude, Codex
AI focus
Build experiment-analysis experiences that may use AI-assisted analysis to help researchers make sense of large experiment histories; use AI tools and agentic workflows for prototyping, analysis, and exploring ideas.
Model-written summary · the original posting is authoritative