Companies in the United States using Tool Use
1,028 companies headquartered in the United States list Tool Use as a requirement in 2,240 open roles. Most of those roles are in AI and machine learning, backend engineering and solutions engineering teams. Tool Use most often appears next to Python, AI Agents, LLM, Function Calling and CI/CD. Roles that need it and state the pay sit at $199k a year in the middle.
Companies with the most open Tool Use roles
25 of 1,028 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 TikTok | 1001-5000 | 51 | AI and machine learning, Backend engineering, Early careers | — |
 NVIDIA | 5000+ | 34 | AI and machine learning, DevOps and infrastructure, Backend engineering | $236k |
 Prime Intellect | 201-500 | 31 | AI and machine learning, Solutions engineering, Engineering leadership | $225k |
 NewRocket | 25 | AI and machine learning, Engineering leadership, Sales | — | |
 Cognizant | 5000+ | 22 | AI and machine learning, Industrial engineering, Solutions engineering | $118k |
 Salesforce | 5000+ | 21 | Solutions engineering, Enterprise applications, Backend engineering | $216k |
 JPMorganChase | 5000+ | 21 | Backend engineering, AI and machine learning, Data science | — |
 Apple | 5000+ | 20 | AI and machine learning, Data science, Backend engineering | — |
 Amazon | 5000+ | 19 | AI and machine learning, Backend engineering, Solutions engineering | $198k |
 ServiceNow | 1001-5000 | 19 | AI and machine learning, Backend engineering, Product management | $277k |
 Micron Technology | 5000+ | 18 | AI and machine learning, Data science, Backend engineering | — |
 Genesys | 5000+ | 18 | Solutions engineering, Backend engineering, AI and machine learning | — |
 The Infatuation | 1001-5000 | 18 | AI and machine learning, Backend engineering, Data science | — |
 OpenAI | 1001-5000 | 16 | AI and machine learning, Security, Backend engineering | $388k |
 Google | 11-50 | 16 | AI and machine learning, Engineering leadership, Backend engineering | — |
 Jones Lang LaSalle | 5000+ | 16 | Backend engineering, AI and machine learning, Industrial engineering | $213k |
 UnitedHealth Group | 5000+ | 16 | AI and machine learning, Backend engineering, Solutions engineering | $183k |
 Adobe | 5000+ | 14 | AI and machine learning, DevOps and infrastructure, Data science | $198k |
 Anthropic | 1001-5000 | 13 | Backend engineering, AI and machine learning, Engineering leadership | $415k |
 State Street | 5000+ | 13 | AI and machine learning, Solutions engineering, Data science | $161k |
 Citi | 5000+ | 11 | AI and machine learning, DevOps and infrastructure, Security | $127k |
 Cisco Systems | 5000+ | 10 | Backend engineering, AI and machine learning, Solutions engineering | $243k |
 Harvey | 1001-5000 | 10 | Backend engineering, Frontend engineering | $279k |
 Workday | 1001-5000 | 10 | AI and machine learning, Backend engineering, Product management | $255k |
 GitLab | 1001-5000 | 10 | Backend engineering, DevOps and infrastructure, AI and machine learning | $197k |
Tool Use in other countries
What these companies also use
Teams hiring for Tool Use
Get all 1,028 companies as a list
Name, website, size, industry and headquarters of every company that requires Tool Use, through the API (company.getList with technology=Tool Use and country=US). 1,028 companies × 0.02 credits = 20.56 credits ($2.06).
Questions
How do you know a company uses Tool Use?
A company counts when at least one of its open job postings lists Tool Use as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Tool Use itself are left out.
Which teams hire for Tool Use?
Of the 2,240 open roles that require it, most are in AI and machine learning (976), backend engineering (435) and solutions engineering (180).
What do Tool Use roles pay?
1,034 of the 2,240 roles state the pay. The middle of their posted ranges is $199k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Tool Use and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.