Company Insights
Published on
April 22, 2026

How Many People Work at Weights & Biases? Headcount and Employee Trends

Total Employees
246
7.2% from last year
0
New Hires (YTD)
9
5% of total workforce
Departments
15
650 in Engineering
Locations
21
5,012 in New York, NY
  • Weights & Biases, founded in 2017 and headquartered in San Francisco, provides a leading AI developer platform for machine learning model development and management, positioning itself as a trusted choice among AI labs and enterprises.
  • In May 2025, Weights & Biases was acquired by CoreWeave, which has since launched new AI cloud software products to enhance model training and deployment capabilities, including the Mission Control Integration announced in June 2025.
  • The company serves notable clients such as OpenAI, Meta, NVIDIA, and AstraZeneca, highlighting its strong presence in the AI and machine learning sectors.
  • Weights & Biases' ideal buyers are AI engineers and ML researchers seeking to streamline their model training and deployment processes, making it crucial for sales teams to engage with organizations focused on AI innovation.

Weights & Biases Headcount Breakdown by Department

Weights & Biases comprises 15 departments, with Information Technology and Engineering each housing 33 employees, making them the largest functional areas. Sales follows with 26 employees, indicating a strong focus on customer engagement and revenue generation. The balance across departments suggests a well-rounded organizational structure, supporting both technical and operational needs effectively.

Information Technology
33
Engineering
33
Sales
26
Operations
11
Marketing
7
Executive
7
Human Resources
4
Community And Social Services
3
Education
3
Other
40

Weights & Biases Employees by Location

The company operates across 21 locations, with the largest concentration in San Francisco, CA, which employs 42 individuals. Other significant locations include New York and Boston, each with 6 employees. The 'Other' category accounts for 96 employees, indicating a substantial remote or distributed workforce, which reflects a flexible approach to geographic distribution.

San Francisco, CA
42
New York, NY
6
Boston, MA
6
Seattle, WA
3
Mountain View, CA
3
Portland, OR
2
Washington, District Of Columbia
2
Redwood City, CA
1
Palo Alto, CA
1
Other
96
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