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TL;DR
Senior Product Manager (AI/ML): Driving the W&B Models roadmap for experiment tracking, training visualization, evaluation analysis, and large-scale research workflows with an accent on understanding ML researchers and improving the hypothesis-to-next-run loop. Focus on designing data-rich product experiences, enabling AI-assisted analysis across thousands of runs, and shipping performant workflows for frontier labs and enterprise fine-tuning teams.
Location: Bellevue, WA; San Francisco, CA; or Sunnyvale, CA. The role requires access to export-controlled information, so applicants must be eligible under U.S. Government export regulations.
Base salary: $182,000–$242,000 per year, plus discretionary bonus, equity awards, and benefits based on eligibility.
Company
CoreWeave provides cloud infrastructure, technology, tools, and services for AI labs, startups, and enterprises.
What you will do
- Drive the W&B Models roadmap for organizing, comparing, and understanding machine learning experiments.
- Improve visualization and monitoring of training runs, including loss curves, system metrics, evaluations, and anomalies across web and mobile.
- Make model evaluations a first-class part of experiment tracking across runs, training steps, and row-level results.
- Define scalable analysis experiences for experiment histories ranging from dozens to thousands of runs, including AI-assisted analysis.
- Conduct user research with frontier lab researchers and practitioners and translate findings into product decisions.
- Own product execution from problem definition through launch and iteration, using usage data and customer feedback.
Requirements
- 3+ years of product management experience with technical products for developer or researcher audiences.
- Hands-on experience training models or close familiarity with machine learning researchers' workflows.
- Strong understanding of data visualization and product design for charts, dashboards, and comparison views.
- Technical fluency sufficient to read training scripts, discuss evaluation methodology, and participate in architecture discussions.
- Ability to communicate clearly with engineering, design, and go-to-market stakeholders.
- Eligibility to access U.S. export-controlled information under applicable regulations.
Nice to have
- Experience with experiment tracking tools, enterprise ML platforms, or fine-tuning services such as SageMaker, Vertex, Databricks, Together, or Fireworks.
- Public technical writing about machine learning, including papers, conference talks, or blog posts.
- Experience conducting user research or engaging with developer communities.
- Participation in AI-focused technical communities.
Culture & Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for eligible U.S.-based employees.
- Life, disability, flexible spending, and health savings benefits.
- Tuition reimbursement, employee stock purchase program, and 401(k) with employer match.
- Flexible PTO, paid parental leave, mental wellness benefits, and family-forming support.
- Flexible childcare support, catered lunches at office and data center locations, and a casual work environment.
- Culture focused on innovative disruption.
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