Mastercard

Senior Software Engineer to join the Agentic AI Engineering team, focusing on applying Generative and Agentic AI to real products, platforms, and developer workflows. The role involves building tooling, services, and reusable patterns to enable experimentation, validation, and scaling of AI-enabled solutions across Mastercard. Requires strong engineering fundamentals, a product-building mindset, and practical understanding of AI systems.

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.

Director of Data Science for Mastercard's AdTech platform, focusing on leading ML initiatives for advertising products like targeting, bidding, ranking, and attribution. The role involves strategy, development, deployment, and mentorship, with a strong emphasis on production systems and ethical AI.

Product management leader to drive the rollout of Mastercard's Agentic Commerce Solutions in North America, influencing the entire product lifecycle from ideation to commercialization, creating compelling consumer payment experiences, and driving adoption with partners.

Mastercard is seeking a Senior Platform Engineer to support and evolve internal Generative AI (GenAI) platforms and productivity tools. This role focuses on enabling secure, scalable, and governed adoption of GenAI capabilities across the enterprise. You will work closely with platform leads, vendor product groups, and third-party partners to deliver reliable GenAI services, connectors, and tools for internal users.

Mastercard is seeking a Backend Software Engineer to join the AI&DPE Data Engineering platform team, responsible for building and evolving large scale backend data systems, real time and batch pipelines, and AI enabled services that power analytics, decisioning, and automation across the organization. This role focuses on Scala/Python/Java, distributed data platforms (Cloudera/Spark), and cloud based architectures, with a strong emphasis on AI agent creation and intelligent automation.

Lead Software Engineer for Mastercard's Portfolio Intelligence team, focusing on advancing their business intelligence platform. The role involves technical leadership in design and architecture, hands-on contribution to real-time applications, mentoring engineers, and guiding the platform's evolution towards AI-driven capabilities. Responsibilities include designing and building large-scale distributed systems, improving CI/CD pipelines, enhancing observability, and leading incident resolution.