Jobs at Mastercard

Develop and grow Mastercard client relationships and sales opportunities across public sector and healthcare markets. Generate pipeline, lead consultative sales conversations, align client challenges with data, analytics, consumer engagement, open finance, and security solutions, and manage opportunities through discovery, proposals, negotiation, contracting, and delivery transition. Navigate complex procurement processes, RFPs, and multiple decision-makers while collaborating with internal teams and engaging senior stakeholders.

Leads the strategy, commercialization, growth, and lifecycle management of Mastercard security and identity products. Responsibilities include managing revenue budgets, analyzing market needs and competition, developing go-to-market plans, enabling sales teams, supporting major opportunities, shaping product roadmaps, and mentoring a high-performing team. The role requires cross-functional influence, executive communication, independent decision-making, and up to 15% travel.

Leads Mastercard’s global AI Engineering organization, overseeing enterprise AI product delivery from design through production and adoption. Builds reusable AI assets, agentic AI solutions, orchestration patterns, and workflow automation while ensuring reliability, scalability, security, governance, compliance, and operational excellence. Partners across technology, product, risk, and business teams to deliver measurable outcomes. Develops engineering leaders and high-performing global teams in a regulated enterprise environment.

Leads major cross-department software initiatives from scoping through delivery, establishes technical roadmaps, evaluates technologies through proofs of concept, and guides strategic decisions. Oversees quality assurance, compliance, documentation, standards, and secure software delivery. Mentors teams, manages stakeholders and vendors, supports process improvement, and drives measurable productivity gains. Requires strong software engineering expertise, Java/Spring or Python coding, AWS, Databricks or Snowflake, and experience applying AI in software design.

Architect and lead enterprise AI infrastructure supporting LLM training and inference, machine learning, agentic AI, and production platforms. The role covers HPC, GPUs, rack-scale systems, private and hybrid cloud, Kubernetes, networking, storage, observability, security, reliability, governance, and automation. Responsibilities include solving complex scalability and performance challenges, defining engineering standards, evaluating emerging technologies, leading cross-functional initiatives, and mentoring engineers in a regulated environment.

Lead partner recruitment, onboarding, activation, and growth for Mastercard Media Solutions across NAM. Build territory and joint business plans, meet revenue targets via channel partners, enable partners to sell and deploy solutions, manage pipeline and forecasts, run partner reviews, and provide market feedback to internal teams.