Stripe hires the most AI talent in fintech, but it is not the most AI-focused employer. As of 20 October 2026, Stripe has 32 roles with an AI, machine learning or LLM title, the most in the Finjobsly panel, yet those are only 4.1% of its 776 active roles. Nubank (11.1%) and Plaid (9.8%) have the highest share of AI roles in their own hiring. This article compares the eight employers with the most AI-titled roles.
Key findings
- 184 of 4,187 active roles (4.4%) carry an AI, machine learning or LLM title, and the figure rises to 10.1% if skills tags are included.
- By count, Stripe leads with 32, then Brex, Plaid and Coinbase with 13 each, Affirm and Nubank with 11, Block with 10 and Adyen with 9.
- By share of active roles, Nubank (11 of 99, 11.1%) and Plaid (13 of 133, 9.8%) lead, ahead of Coinbase (5.8%), Affirm (5.0%), Brex (4.9%), Block (4.6%), Stripe (4.1%) and Adyen (3.8%).
- The eight employers hold 112 of the 184 AI-titled roles.
Which fintech companies are hiring for AI roles?
Ranked by AI-titled roles on 20 October 2026, the list is Stripe (32), Brex (13), Plaid (13), Coinbase (13), Affirm (11), Nubank (11), Block (10) and Adyen (9). These eight employers hold 112 of the 184 AI-titled roles in the panel, or 60.9%. The remaining 72 are spread across the other 28 employers, which means AI hiring is concentrated even more than hiring overall.
Which employers put the most weight on AI?
Counting roles favours big employers, so share is a fairer measure of focus. Nubank has 11 AI-titled roles among 99 active roles (11.1%), and Plaid has 13 among 133 (9.8%). Coinbase is 5.8% (13 of 226), Affirm 5.0% (11 of 218), Brex 4.9% (13 of 263), Block 4.6% (10 of 217), Stripe 4.1% (32 of 776) and Adyen 3.8% (9 of 240). The panel average is 4.4%. So Nubank and Plaid are about twice as AI-heavy as the panel, while Stripe and Adyen are slightly below it despite their volume.
Share depends on the denominator, and small employers can swing sharply with a few postings, so treat the shares as a snapshot. See the full employer ranking and browse AI finance jobs.
What skills sit behind these roles?
Machine Learning is tagged on 214 roles, Data Science on 306, Python on 700 and SQL on 611. Data and machine learning titles total 399 roles. Payments (1,966 roles) and Fraud (390) are the main domain tags across the panel. Read the AI jobs guide for pay, and AI skills in non-AI fintech jobs for roles that mention AI without an AI title.
What do AI roles pay and how senior are they?
Among US roles that state a range, data and machine learning roles have a median midpoint of $215,000 (n=128), and roles with AI or machine learning titles specifically have a median of $242,500 (n=61), second only to product managers in our pay ranking. The panel is senior heavy, with 70.1% of labelled roles at Senior level or above, so most AI openings ask for experience. Only 1,491 of 4,187 roles (35.6%) state pay, so treat these as advertised figures. Use the salary benchmark for role-level ranges.
How to get hired by an AI-heavy fintech
- Pick two or three employers from the list and read their engineering and product blogs.
- Build Python and SQL skills, then apply them to payments, fraud or lending data.
- Show how you handle model risk and regulation, since Compliance is tagged on about 25.9% of roles.
- Check your CV with the resume analyzer and practise interviews with the career coach.
FAQ
Which fintech company has the most AI jobs?
Stripe, with 32 AI, machine learning or LLM titled roles on 20 October 2026, followed by Brex, Plaid and Coinbase with 13 each.
Which fintech is most focused on AI hiring?
By share of its own roles, Nubank (11.1%) and Plaid (9.8%), against a panel average of 4.4%.
Are AI roles growing in fintech?
We cannot say. Finjobsly began tracking in July 2026, so this is a snapshot and not a trend.
Methodology and data notes
Figures come from the Finjobsly tracked employer panel, which held 4,187 active roles at 36 employers on 20 October 2026. AI roles are matched by keywords for AI, machine learning and LLM in job titles, and shares divide by each employer total active roles. Skills use the tags on each role, where one role can carry several. The panel covers the employers we track and not the whole market. Last updated: 20 October 2026. See the methodology page and the Fintech Hiring Index.