Mastercard
ScalingFintech · Card network
- HQ
- Purchase, US
- Founded
- 1979
- Size
- 35,000+
- Website
- mastercard.com
Currently tracking 2 active AI roles, up 765% versus the prior 4 weeks. Primary focus: Agent · Product.
Hiring
2 / 4
Momentum (4w)
↑+130 +765%
147 opens last 4w · 17 prior 4w
Salary range
—
Tracked since
4w ago
last role today
Hiring velocityscroll left for older weeks
Jobs (3)
| 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 |