Top Tech Jobs & Startup Jobs in Dublin

Lead end-to-end product design for Mastercard’s small business experiences across web, mobile, and platform products. Responsibilities include customer research, product strategy, prototyping, user flows, journey mapping, high-fidelity design, design system development, usability testing, and collaboration with product managers, engineers, researchers, and stakeholders. The role emphasizes scalable, accessible experiences, AI-assisted design, human-centered methods, and measurable customer and business outcomes.

Leads end-to-end product design for Mastercard’s small-business digital experiences across web, mobile, and platform products. Conducts research, prototypes concepts, develops scalable design systems, and partners with product managers, engineers, researchers, and stakeholders to define strategy and deliver accessible, high-quality solutions. Uses Figma, AI-assisted design tools, experimentation, analytics, and human-centered design to address customer and business needs.

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, accessible designs. Partner with product managers, engineers, researchers, and stakeholders while contributing to design systems and using AI-assisted tools to accelerate ideation and iteration.

Lead end-to-end product design for Mastercard’s small business experiences across web, mobile, and platform products. Conduct research, define product strategy, prototype concepts, create user flows and high-fidelity designs, and partner with product, engineering, and research teams. Build scalable design systems, apply human-centered design, use AI-assisted tools, and deliver accessible experiences informed by customer insights, usability testing, experimentation, and analytics.

Leads end-to-end product design for Mastercard’s small-business experiences across web, mobile, and platform products. Conducts research, identifies opportunities, shapes product strategy, prototypes concepts, and delivers scalable, accessible experiences. Partners with product managers, engineers, researchers, and stakeholders while contributing to design systems and using AI-assisted tools to accelerate ideation and iteration.

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, success measures, and backlog priorities. Coordinates engineering, data science, UX, and business stakeholders through development, testing, governance, and launch readiness. Tracks product performance, risks, dependencies, and onboarding outcomes while maintaining documentation. The role also supports responsible AI, security, privacy, PCI/PII handling, and client rollout activities.

Lead hands-on development of secure, scalable AI and agentic platform capabilities. Design and integrate LLMs, AI services, workflows, knowledge bases, APIs, data pipelines, and orchestration layers. Translate architecture into production solutions, guide engineers and vendors, conduct design and code reviews, mentor team members, and ensure reliability, security, privacy, compliance, and scalability. Collaborate across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs and delivers scalable services, APIs, workflows, integrations, knowledge-base capabilities, and reusable AI components. Provides technical direction, reviews code, mentors engineers, coordinates vendors, and translates architecture into production-ready solutions. Partners across product, data, business, and engineering teams while ensuring security, privacy, compliance, reliability, scalability, and operational readiness.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs scalable services, integrations, workflows, data pipelines, and reusable agent capabilities; integrates LLMs, AI services, orchestration platforms, knowledge bases, and vector search. Provides technical direction, reviews code, mentors engineers, coordinates vendors, supports migrations, and ensures secure, reliable, compliant, production-ready solutions.

Leads hands-on development of AI and agentic platform capabilities, integrating LLMs, AI services, workflow engines, knowledge bases, APIs, and data pipelines. Translates architecture into secure, scalable production solutions; guides engineers and vendors; conducts design and code reviews; mentors team members; manages technical risks and trade-offs; and partners across product, business, data, architecture, and engineering teams to deliver reusable AI capabilities aligned with security, privacy, reliability, compliance, and scale requirements.