Manager, Software Engineering, AI Foundations

Mastercard is seeking a Manager, Software Engineering to lead the design, development, and delivery of AI platform capabilities that enable intelligent products and agentic experiences across B&MI.

This role combines people leadership, technical ownership, and cross-functional delivery accountability. You will lead one or more engineering teams building reusable AI platform services, integration patterns, and production capabilities.

Responsibilities:

• Lead, coach, and develop one or more teams of software engineers by setting clear goals, managing performance, and creating development plans aligned to individual and organizational objectives.
• Build a strong engineering culture focused on ownership, quality, accountability, and continuous improvement, and partner with leadership on hiring, team composition, and long-term planning.
• Guide teams through change and ambiguity, connecting team priorities to broader business and enterprise goals.
• Own end-to-end delivery of complex initiatives across multiple systems, services, or teams.
• Establish execution frameworks for planning, estimation, and tracking that enable predictable, high-quality delivery.
• Lead development of scalable AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
• Drive production integration of AI capabilities, including model inference, LLM-based services, orchestration, enterprise data and system connectivity, evaluation, and guardrails.
• Promote shared engineering patterns and standardization to speed up delivery and reduce duplication across teams.
• Define and evolve AI platform architecture in line with enterprise standards for scalability, security, interoperability, and maintainability.
• Evaluate new technologies and lead adoption decisions based on business value, technical fit, and long-term sustainability.
• Ensure systems meet Mastercard standards for reliability, security, compliance, performance, and observability.
• Own production health, including troubleshooting, incident management, root cause analysis, and continuous improvement.
• Collaborate with AI Engineers, Data Scientists, Product Managers, Architects, and platform teams to deliver integrated AI solutions.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Proven experience leading software engineering teams that deliver shared platforms, distributed systems, or AI-enabled capabilities.
• Strong background in distributed systems, object-oriented programming, and backend engineering.
• Hands-on depth in software design and architecture, data structures, code review, and performance engineering.
• Experience designing or integrating production AI capabilities.
• Demonstrated ability to drive architecture decisions and influence system design across teams.
• Experience owning delivery of complex, cross-team initiatives end-to-end.
• Strong understanding of operational practices.
• Proven people management experience.

Preferred Skills:

• Experience building reusable platform capabilities used by multiple product or engineering teams.
• Familiarity with AI evaluation, guardrails, responsible AI practices.
• Experience operating in regulated environments.

Benefits:

• Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time and 5 personal days
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement