Companies using Feature Store that are hiring now
598 companies list Feature Store as a requirement in 880 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 $185k a year in the middle.
Companies with the most open Feature Store roles
25 of 598 · the full list is in the API| Company | Headquarters | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|---|
 TikTok | United States | 1001-5000 | 9 | AI and machine learning, Backend engineering | — |
 Beacon Software | Canada | 501-1000 | 9 | AI and machine learning, Solutions engineering, Backend engineering | — |
 Warner Bros. Discovery | United States | 1001-5000 | 8 | AI and machine learning, Data science | — |
 Point Wild | United States | 201-500 | 7 | AI and machine learning | — |
 Power Digital | United States | 1001-5000 | 7 | Data science | — |
 UnitedHealth Group | United States | 5000+ | 7 | Data science, AI and machine learning, Engineering leadership | $183k |
 Aerospike | United States | 501-1000 | 7 | Solutions engineering | $250k |
 Capgemini | France | 5000+ | 6 | Data science, AI and machine learning, Solutions engineering | — |
 AbbVie | United States | 5000+ | 5 | Industrial engineering, Engineering leadership | $96k |
 Impact Tech | United States | 51-200 | 5 | Data science | $175k |
 Pipedrive | United States | 501-1000 | 5 | AI and machine learning | — |
 Satispay | Italy | 51-200 | 5 | Analytics, Data science | — |
 Caylent | United States | 5 | Engineering leadership | — | |
 Amazon | United States | 5000+ | 4 | Backend engineering, AI and machine learning, Analytics | $169k |
 Sber | Russia | 5000+ | 4 | Analytics | — |
 Qualcomm | United States | 5000+ | 4 | AI and machine learning, Data science, Analytics | — |
 Roblox Corporation | United States | 5000+ | 4 | Data science, AI and machine learning, Backend engineering | $297k |
 Mastercard | United States | 5000+ | 4 | AI and machine learning, Engineering leadership | — |
 JPMorganChase | United States | 5000+ | 4 | AI and machine learning, Backend engineering, Analytics | — |
 HelloFresh Nordics | Germany | 1001-5000 | 4 | AI and machine learning | — |
 Ernst & Young | 5000+ | 4 | AI and machine learning, Data science | — | |
 OCBC Bank | Singapore | 1001-5000 | 4 | Data science, AI and machine learning, Early careers | — |
 Benevity | 4 | AI and machine learning | — | ||
 Bank of Montreal | Canada | 5000+ | 4 | Security, AI and machine learning, DevOps and infrastructure | $144k |
 Quantiphi | United States | 1001-5000 | 4 | AI and machine learning, DevOps and infrastructure, QA and testing | — |
Where these companies are headquartered
What these companies also use
Teams hiring for Feature Store
Get all 598 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). 598 companies × 0.02 credits = 11.96 credits ($1.20).
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 880 open roles that require it, most are in AI and machine learning (335), data science (245) and engineering leadership (72).
What do Feature Store roles pay?
293 of the 880 roles state the pay. The middle of their posted ranges is $185k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Feature Store 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.