Currently tracking 3 active AI roles, down 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
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.
Mastercard currently has 11 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), Foundry R&D Software Engineer II, Lead Software Engineer, Lead Technical Program Manager, Manager, Software Engineering. Most positions are in Engineering.
Mastercard's active AI hiring is concentrated in: agents (45%), serving infrastructure (36%), application (18%). 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 (7 roles), Ireland (3 roles), Singapore (1 role).
Job postings at Mastercard most frequently reference: model serving, inference infra, agent orchestration, rag, guardrails.
In the past 30 days, Mastercard has posted 5 new AI-related roles. That is a -79% change versus the prior 30 days (24 → 5).
| Title | Stage | AI score |
|---|---|---|
| Director, AI Product Definition & Execution Director to redefine and modernize the Product Management Technical (PMT) operating model by applying an AI-first lens to how product intent is shaped, refined, and delivered to engineering. This role will redesign how product ideas become buildable software by owning the operating model, the PMT practices, decision frameworks, and AI-enabled workflows that drive clarity, speed, and predictability across the engineering organization. Success will be measured by improved delivery outcomes, higher backlog readiness, reduced iteration churn, fewer clarification cycles, stronger engineering trust, and more predictable execution. | Agent | 7 |
| Vice President Product Management-Technical Vice President of Product Management-Technical to lead technical product strategy for Mastercard’s AI Decisioning Foundations, shaping and owning the technical product vision for scalable, reliable, and secure AI decisioning capabilities used across various fraud and network services. This role involves building a coherent vision and strategy for foundational components powering AI-driven decisions, leading a global PMT organization, and partnering with engineering, architecture, and data science leaders. |
| ShipServe |
| 7 |
| 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 |