CoreWeave
Staff Product Manager, Training Infrastructure - Weights & Biases
$188K–$275K
Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA +1 · Staff · Full-time · Posted Jan 7, 2026
- Location
- Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA
Bellevue, WA - Experience
- 7+ years as a product manager in the stated fields.
- Visa sponsorship
- Requires eligibility to access export-controlled information as a U.S. person, eligibility to access it without export authorization, or eligibility and reasonable likelihood of obtaining required U.S. government export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Owns strategy and delivery for developer tools that connect W&B experiment tracking with CoreWeave infrastructure, helping frontier AI teams submit, orchestrate, monitor, and improve large-scale training workloads.
What you'll do
- Set the roadmap and ship infrastructure-native products, including W&B Launch and infrastructure insights.
- Work with frontier AI teams to understand workflows and turn their needs into product improvements and new concepts.
- Coordinate W&B product and engineering teams with CoreWeave infrastructure and platform engineering.
What they ask for
- 7+ years as a product manager working on developer tools, deep learning infrastructure, or ML engineer platforms.
- Experience taking a technical product to production, defining success criteria, measuring effectiveness, and iterating.
- Technical fluency in Kubernetes and SLURM, job scheduling, hyperparameter optimization algorithms, and API design.
- Ability to influence AI engineers, software engineers, and stakeholders and communicate clearly in complex environments.
Nice to have
- Experience with PyTorch, JAX, distributed training, or LLM development workflows; hands-on SLURM or Kubernetes for GPU-intensive workloads.
- Exposure to W&B or other experiment-tracking and model management platforms; understanding of hyperparameter optimization methods and large-model evaluation workflows.
Pay
$188,000 to $275,000 USD base salary
Tools
W&B Launch, Kubernetes, SLURM, PyTorch, JAX
AI focus
Build tools for deep learning training infrastructure and explore agentic and automated research workflows for frontier AI teams.
Model-written summary · the original posting is authoritative