Company Insights
Published on
April 22, 2026

How Many People Work at Weka? Headcount and Employee Trends

Total Employees
397
7.2% from last year
0
New Hires (YTD)
11
5% of total workforce
Departments
14
650 in Engineering
Locations
41
5,012 in New York, NY
  • Weka, headquartered in Campbell, California, specializes in AI storage and memory systems, positioning itself as a leader in providing high-performance infrastructure optimized for AI Factory deployments.
  • In March 2026, Weka launched its NeuralMesh AI Data Platform (AIDP), designed to accelerate AI project timelines from months to minutes by delivering scalable business intelligence and faster AI outcomes in collaboration with NVIDIA.
  • Weka's solutions are utilized by leading AI innovators and research teams, with notable partnerships including NVIDIA, enhancing their ability to deliver production-scale agentic AI applications.
  • Weka's ideal buyers are enterprises seeking to overcome the challenges of scaling AI from proof-of-concept to production, making it a critical solution for organizations aiming to leverage AI effectively in their operations.

Weka Headcount Breakdown by Department

Weka's workforce is organized into 14 departments, with the largest being Information Technology, which comprises 41 employees, followed closely by Sales with 39 employees. Engineering also plays a significant role, housing 32 employees. The distribution reflects a balanced functional mix, supporting core operations while allowing for specialized roles in marketing, human resources, and community services.

Information Technology
41
Sales
39
Engineering
32
Operations
18
Marketing
14
Executive
12
Human Resources
9
Community And Social Services
5
Finance
3
Other
74

Weka Employees by Location

Weka operates across 41 locations, with its largest presence in Campbell, CA, employing 14 individuals. Other notable locations include San Francisco, CA, with 7 employees, and Hopkinton, MA, with 5 employees. The substantial count of 171 employees categorized as 'Other' indicates a distributed workforce, suggesting a reliance on remote or flexible work arrangements to meet operational needs.

Campbell, CA
14
San Francisco, CA
7
Hopkinton, MA
5
San Jose, CA
5
New York, NY
4
Santa Clara, CA
4
Redwood City, CA
3
San Diego, CA
3
Austin, TX
2
Other
171
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