Public company, workplace, funding, and market signals
SF Tensor is a San Francisco-based AI infrastructure company that builds a managed training stack for AI labs and enterprises, combining Tensor Cloud, Kernel Optimizer, and Emma to make large-scale model training and fine-tuning faster, cheaper, and more portable across clouds and hardware.
Primary product
Tensor Cloud, a cloud-agnostic AI training and orchestration platform
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10 employees
Work style
Onsite
Industry
Software Development
Sub-industry
AI infrastructure
Offices
4 jobs at SF Tensor
Business model
Investors
Technical depth is central to the culture: the company describes itself as builders, mathematicians, and systems thinkers, hires for ability over credentials, and emphasizes rigorous but transparent hiring with deep engagement in the technology.
Work style
Onsite
Compensation
Public job posts advertise roughly $225k-$315k base salary plus 1%-2% equity depending on role, with some roles at $285k-$315k + equity; the company also says it pays at the 90th percentile or above and has offered a $15,000 warm-introduction bonus for some hires.
Benefits
Pricing
Pay-for-savings pricing based on verified savings versus a baseline, plus tiered product plans (Basic, Pro, Enterprise) and custom forward-deployed contracts.
Differentiators
Technology
Customers
Competitors
Estimated revenue
USD 579K–1.5M (estimated; ~USD 732K midpoint)
Estimated monthly visits
1.2K
Traffic estimate as of Jan 2026