Mastercard
Fintech · Card network
- HQ
- Purchase, US
- Founded
- 1979
- Size
- 35,000+
- Website
- mastercard.com
Fintech · Card network
Mastercard currently has 16 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on serving infrastructure. Engineering is the primary function for these AI positions, with the United States being the top hiring country. Frequent technical tags include model serving, agent orchestration, and inference infrastructure, suggesting a focus on deploying and managing AI models. In the last 30 days, Mastercard has posted 23 new AI roles, representing a 667% increase from the previous 30-day period.
Currently tracking 3 active AI roles, down 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
Mastercard currently has 7 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (2), Foundry R&D Software Engineer II, Lead Software Engineer, Manager, Software Engineering, Principal Software Engineer. Most positions are in Engineering.
Mastercard's active AI hiring is concentrated in: serving infrastructure (43%), application (29%), agents (29%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Mastercard is hiring AI talent in: United States (4 roles), Ireland (3 roles).
Job postings at Mastercard most frequently reference: model serving, inference infra, agent orchestration, fine tuning, tool use.
In the past 30 days, Mastercard has posted 11 new AI-related roles. That is a -35% change versus the prior 30 days (17 → 11).
| Title | Stage | AI score |
|---|---|---|
| Director Product Management - AI Strategy & Solutions Delivery Director of Product Management responsible for AI strategy and solutions delivery within Mastercard's global digital and authentication network. The role focuses on bridging technical AI delivery with commercial business outcomes, moving AI from pilots to core operations like fraud prevention and agentic commerce. Key responsibilities include developing the AI roadmap, overseeing AI model deployment, identifying AI use cases, defining data requirements for model training, establishing AI governance, and partnering with various teams to integrate AI features. | ShipAgent | 7 |