Top Tech Jobs & Startup Jobs in Dublin

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.

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.

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 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.

Design end-to-end user experiences for Mastercard Crypto Solutions, translating complex risk, compliance, and security signals into intuitive workflows. Responsibilities include customer research, user flows, wireframes, prototypes, high-fidelity designs, usability testing, design communications, and collaboration with Product Managers, PMTs, Engineers, and Data Science. The role contributes to product-feature design, applies design systems and UX best practices, and uses generative AI tools to develop solutions.

Lead the design and operation of an enterprise AI platform supporting production AI and Generative AI solutions. Manage and mentor AI engineers, define platform roadmaps, build shared services for model serving and orchestration, establish MLOps and LLMOps standards, and ensure scalability, reliability, security, governance, and compliance. Partner with architecture, cloud, data, security, product, and data science teams to accelerate enterprise AI adoption.

Leads the design and operation of Mastercard’s enterprise AI platform, including model serving, MLOps, LLMOps, cloud-native infrastructure, governance, security, observability, and reliability. Manages and mentors AI engineers, defines the platform roadmap, partners with architecture, security, data, and product teams, and enables production deployment of AI and generative AI solutions at enterprise scale.

Design and evolve Mastercard’s product experiences and design systems for AI- and data-driven products. Responsibilities include creating reusable components, high-fidelity designs, user flows, journey maps, prototypes, and proof-of-concepts; collaborating with product, engineering, research, and design teams; applying human-centered design and design thinking; and improving product usability, engagement, and conversion through scalable systems and innovative interaction design.

Lead the design and operation of Mastercard’s enterprise AI platform, including model serving, inference APIs, vector databases, registries, and developer tools. Manage and mentor AI engineers, define the platform roadmap, establish MLOps and LLMOps standards, and ensure secure, scalable, reliable cloud-native infrastructure. Partner with architecture, security, data, product, and science teams to productionize AI solutions while implementing governance, observability, compliance, automation, and operational excellence.