Top Tech Jobs & Startup Jobs

Design end-to-end user experiences for Mastercard Crypto Solutions, including onboarding, research, monitoring, and reporting journeys. Create user flows, wireframes, prototypes, high-fidelity designs, presentations, and design-system-consistent deliverables. Conduct user research and usability testing, simplify complex risk and compliance information, and collaborate closely with Product Managers, PMTs, Engineers, and Data Scientists to deliver customer-centered product features.

Design end-to-end user experiences for Mastercard Crypto Solutions, including onboarding, research, monitoring, and reporting journeys. Create user flows, wireframes, prototypes, and high-fidelity designs; validate concepts through user research and usability testing. Collaborate with Product Managers, PMTs, Engineers, and Data Science to translate customer needs into intuitive products. Communicate design concepts to stakeholders and apply design systems, UX best practices, and generative AI tools.

Leads Mastercard’s enterprise Technology Risk Management function, setting strategy and governing risk, controls, resilience, operational readiness, and modernization. Oversees risk frameworks, assessments, control effectiveness, audit readiness, regulatory alignment, executive reporting, resilience metrics, and remediation. Partners with technology, engineering, security, compliance, audit, and business leaders to strengthen accountability and operational excellence. Builds global teams and drives analytics, automation, and process improvements to enhance risk intelligence and decision-making.

Owns customer relationships from late-stage sales through onboarding and transition to long-term account management. The role coordinates with Sales, Product Delivery, Product, Support, and Operations; manages onboarding governance, milestones, risks, issues, and executive communications; educates customers on Mastercard’s operating model and escalation paths; and ensures successful implementation, customer satisfaction, and continuity after go-live.

Lead the design and evolution of Mastercard’s enterprise AI platform, including model serving, inference APIs, vector databases, MLOps, LLMOps, governance, observability, and self-service capabilities. Manage and mentor AI engineers, define the technical roadmap, productionize AI solutions, and build secure, scalable cloud-native infrastructure using Kubernetes, containers, microservices, and infrastructure as code. Drive platform reliability, compliance, automation, disaster recovery, and adoption of emerging AI technologies.

Design and evolve Mastercard’s product experiences, design systems, reusable components, and AI-driven workflows. The role involves ideating features, rapidly prototyping concepts and MVPs, creating high-fidelity designs, user flows, journey maps, and interaction prototypes, and collaborating with researchers, product managers, engineers, and designers. The manager will apply human-centered design and design-thinking principles, align experiences with product strategy and business goals, and improve design-process efficiency.

Leads the design and evolution of Mastercard’s enterprise AI platform, managing AI engineers and defining technical roadmaps. Builds shared services for model serving, inference, feature stores, vector databases, prompt management, governance, and self-service development. Establishes MLOps and LLMOps standards while designing cloud-native infrastructure with Kubernetes, containers, microservices, and infrastructure as code. Partners with security, data, architecture, and product teams to deliver secure, scalable, observable, reliable, and compliant AI solutions across the enterprise.

Design and evolve scalable design systems, reusable components, and AI-assisted product experiences. Create high-fidelity designs, user flows, journey maps, prototypes, and proof-of-concepts using human-centered design and atomic design principles. Collaborate with product managers, designers, researchers, and engineers to align experiences with product strategy, improve engagement and conversion, and address technical design challenges.

Design next-generation AI-driven product experiences and business solutions. Responsibilities include contributing to scalable design systems, creating reusable components and high-fidelity designs, prototyping MVPs, mapping user journeys, collaborating with product and engineering teams, and optimizing user engagement. The role applies human-centered design, design thinking, interaction design, and AI-assisted workflows to develop innovative consumer-facing and B2B products.

Design and evolve scalable product experiences, design systems, reusable components, prototypes, and AI-driven workflows for Mastercard’s business and data products. Collaborate with researchers, product managers, engineers, and designers to ideate features, improve user engagement and conversion, translate complexity into intuitive experiences, and rapidly prototype MVPs using human-centered design and emerging AI-assisted tools.