Companies in the United States using Feature Store
269 companies headquartered in the United States list Feature Store as a requirement in 442 open roles. Most of those roles are in AI and machine learning, data science and engineering leadership teams. Feature Store most often appears next to Python, SQL, CI/CD, AWS and Machine Learning. Roles that need it and state the pay sit at $197k a year in the middle.
Companies with the most open Feature Store roles
25 of 269 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
 TikTok | 1001-5000 | 9 | AI and machine learning, Backend engineering | — |
 Warner Bros. Discovery | 1001-5000 | 9 | AI and machine learning, Data science, Backend engineering | — |
 UnitedHealth Group | 5000+ | 8 | Data science, AI and machine learning, Engineering leadership | $183k |
 Point Wild | 201-500 | 7 | AI and machine learning | — |
 Power Digital | 1001-5000 | 7 | Data science | — |
 Aerospike | 501-1000 | 7 | Solutions engineering | $250k |
 AbbVie | 5000+ | 5 | Industrial engineering, Engineering leadership | $96k |
 Impact Tech | 51-200 | 5 | Data science | $175k |
 Pipedrive | 501-1000 | 5 | AI and machine learning | — |
 Caylent | 5 | Engineering leadership | — | |
 Amazon | 5000+ | 4 | Backend engineering, AI and machine learning, Analytics | $169k |
 Qualcomm | 5000+ | 4 | AI and machine learning, Data science, Analytics | — |
 Roblox Corporation | 5000+ | 4 | Data science, AI and machine learning, Backend engineering | $297k |
 Mastercard | 5000+ | 4 | AI and machine learning, Engineering leadership | — |
 JPMorganChase | 5000+ | 4 | AI and machine learning, Backend engineering, Analytics | — |
 Quantiphi | 1001-5000 | 4 | AI and machine learning, DevOps and infrastructure, QA and testing | — |
 Solventum Corporation | 1001-5000 | 4 | AI and machine learning, Data science | — |
 Robots & Pencils | 201-500 | 4 | AI and machine learning, Data science, DevOps and infrastructure | $197k |
 Intuit | 1001-5000 | 4 | AI and machine learning, Product management | $259k |
 Quince | 501-1000 | 4 | Data science, AI and machine learning, Engineering leadership | $252k |
 NVIDIA | 5000+ | 3 | AI and machine learning, Backend engineering, Product management | — |
 Adobe | 5000+ | 3 | AI and machine learning, Data science, Backend engineering | $185k |
 Google | 11-50 | 3 | Backend engineering, AI and machine learning | — |
 Cognizant | 5000+ | 3 | AI and machine learning | $138k |
 Snowflake | 5000+ | 3 | AI and machine learning, Data science, Solutions engineering | — |
Feature Store in other countries
What these companies also use
Teams hiring for Feature Store
Get all 269 companies as a list
Name, website, size, industry and headquarters of every company that requires Feature Store, through the API (company.getList with technology=Feature Store and country=US). 269 companies × 0.02 credits = 5.38 credits ($0.54).
Questions
How do you know a company uses Feature Store?
A company counts when at least one of its open job postings lists Feature Store 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 Feature Store itself are left out.
Which teams hire for Feature Store?
Of the 442 open roles that require it, most are in AI and machine learning (165), data science (118) and engineering leadership (47).
What do Feature Store roles pay?
208 of the 442 roles state the pay. The middle of their posted ranges is $197k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Feature Store 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.