Jobs at Mastercard

Lead security engineer advising product and operational teams on secure design, driving security reviews and standards, documenting enhancements, presenting solutions, and leading security for complex global initiatives to meet security and regulatory requirements.

Lead security engineer advising product and operational teams on secure design, standards, and review processes. Lead security for large global initiatives, document and enhance security standards, present technical guidance, recommend solutions to meet security and regulatory requirements, and support automation, scripting, and Linux-based security operations.

Lead end-to-end product design for Mastercard’s small-business experiences across web, mobile, and platform products. Conduct research, identify opportunities, shape product strategy, prototype solutions, and deliver scalable user experiences. Partner with product managers, engineers, researchers, and stakeholders while contributing to design systems, accessibility, experimentation, and AI-assisted design workflows.

Lead end-to-end product design for Mastercard’s small business experiences across web, mobile, and platform products. Conduct research, define opportunities, shape product strategy, prototype concepts, and create scalable, accessible user experiences. Collaborate with product managers, engineers, researchers, and stakeholders while contributing to design systems and applying AI-assisted design tools, human-centered design, and experimentation to deliver measurable customer and business value.

Lead Security Engineer in the Business Security Enablement guild advising product and operational teams on secure design, driving security reviews, documenting and enhancing standards, presenting technical guidance, leading security for large global initiatives, recommending secure solutions to meet regulatory requirements, and implementing automation, scripting, and Linux-based security administration.

Own Mastercard’s AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Define agentic workflows, requirements, roadmaps, and acceptance criteria; partner with Engineering, Data Science, UX, and business teams to deliver and scale the product. Manage dependencies, risks, governance, responsible AI, security, privacy, and launch readiness. Measure outcomes such as onboarding time, approval effort, data quality, and reduced manual support while mentoring junior team members.

Design, build, and maintain scalable full-stack, data-intensive applications and services. Implement APIs, optimize data-processing with Databricks/Spark, participate in design/code reviews, mentor teammates, and collaborate across teams to deliver enterprise-grade experimentation and analytics features.

Lead end-to-end product design for Mastercard’s small-business digital experiences across web, mobile, and platform products. Conduct research, identify customer and business opportunities, shape product strategy, prototype and validate solutions, and deliver user flows, journey maps, and high-fidelity designs. Partner with product managers, engineers, researchers, and stakeholders while contributing to scalable design systems, accessibility, AI-assisted prototyping, and measurable customer outcomes.

Supports features for an AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Responsibilities include documenting requirements, acceptance criteria, backlog priorities, user testing, performance tracking, dependency coordination, governance evidence, launch readiness, and product documentation. The role collaborates with Engineering, Data Science, UX, Data Delivery, and business stakeholders while addressing privacy, security, responsible AI, PCI, and PII considerations.

Support features for an AI-led client data onboarding product, covering data pipelines, quality, agent workflows, and user experience. Translate user needs into requirements, acceptance criteria, and success measures; maintain backlog items; coordinate engineering, UX, data, security, privacy, and business stakeholders; support testing, governance, launch readiness, documentation, and performance tracking. Monitor onboarding efficiency, approval effort, data quality, risks, and dependencies while recommending corrective actions.

The Lead Security Engineer advocates secure design practices within Mastercard, leading complex security initiatives, providing expert guidance, and ensuring compliance with security policies and standards.

Own the strategy, roadmap, and delivery of Mastercard’s AI-led client data onboarding product. Define agentic workflows, data pipelines, quality checks, and human-in-the-loop experiences; partner with Engineering, Data Science, UX, and business teams; manage dependencies, governance, privacy, security, and responsible AI requirements; deliver an MVP and scale adoption. Measure onboarding time, approval effort, data quality, and support reduction while mentoring junior product team members.

Supports features for an AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Translates user problems into requirements, acceptance criteria, and measurable outcomes; maintains backlog items; coordinates engineering, UX, data, security, privacy, and business stakeholders; supports testing, launch readiness, governance, documentation, and performance tracking.

Own Mastercard’s AI-led client data onboarding product, including data pipelines, quality, agentic workflows, and expert-user experience. Define product requirements, strategy, roadmap, and acceptance criteria; partner with Engineering, Data Science, UX, and business teams to deliver and scale the MVP. Manage dependencies, risk, governance, responsible AI, privacy, security, and launch readiness. Measure onboarding efficiency and data quality while mentoring junior product team members.

Own Mastercard’s AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Define agentic workflows, requirements, roadmaps, and human-in-the-loop experiences; lead feature delivery, testing, governance, launch readiness, and stakeholder alignment. Partner with Engineering, Data Science, UX, and business teams to scale onboarding, improve data quality, reduce manual support, and meet privacy, security, responsible AI, and PCI/PII requirements. Mentor junior product team members.

Lead end-to-end product design for Mastercard’s small business web, mobile, and platform experiences. Conduct research, identify customer and market opportunities, shape product strategy, prototype solutions, and create high-fidelity designs. Partner with product managers, engineers, researchers, and stakeholders to validate and deliver scalable, accessible experiences. Contribute to design systems, leverage AI-assisted tools, and communicate design decisions to cross-functional teams and senior leadership.

Build and maintain scalable full-stack, data-intensive applications and APIs. Contribute to architecture, design, testing, and performance optimization using cloud platforms and Databricks/Spark. Collaborate cross-functionally, mentor peers, participate in code reviews, and drive engineering best practices to deliver reliable, analytics-driven experimentation solutions.

Lead security engineer advising product and ops teams on secure design, reviewing and improving security standards and procedures, leading security for large global initiatives, presenting technical recommendations, and implementing cryptographic, network, and systems security controls while driving automation and process improvements.

Lead end-to-end product design for Mastercard’s small-business web, mobile, and platform experiences. Conduct research, identify opportunities, shape product strategy, prototype solutions, and deliver high-fidelity accessible designs. Collaborate with product managers, engineers, researchers, and stakeholders while evolving scalable design systems and applying human-centered design, analytics, experimentation, and AI-assisted tools. Present recommendations to leadership and help bring innovative B2B and B2B2C products to market.

Own Mastercard’s AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Define agent workflows and requirements, shape product strategy and roadmap, deliver MVPs, manage dependencies and risks, and measure onboarding outcomes. Partner with Engineering, Data Science, UX, and business teams to develop human-in-the-loop workflows. Ensure responsible AI, security, privacy, architecture, and PCI/PII governance while mentoring junior product managers.