Top Tech Jobs & Startup Jobs in Dublin

Leads user experience, interaction, visual, and product experience design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using Lean UX and Design Thinking. Conducts workshops, develops personas and user journeys, designs information architectures and visual systems, incorporates user research, and collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences across global markets.

Leads execution for an AI foundations and agents engineering team. Manages planning, delivery tracking, releases, dependencies, risks, Agile ceremonies, operational readiness, stakeholder coordination, and engineering process improvements. Partners with product, engineering, architecture, security, and platform teams to improve delivery predictability, team effectiveness, and adoption of shared AI capabilities.

Lead delivery for an AI Foundations and Agents engineering team by managing planning, execution, releases, dependencies, risks, Agile ceremonies, operational readiness, and stakeholder communications. Improve engineering effectiveness, delivery predictability, reporting, and team operating practices while coordinating Product, Engineering, Architecture, Security, and platform teams. Support scalable shared AI capabilities and adoption across Mastercard’s Business & Market Insights organization.

Lead UX, interaction, and visual design for data-driven B2B and B2B2C products, including dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Develop personas, journeys, architectures, prototypes, and visual systems through Lean UX and Design Thinking. Collaborate with customers, product managers, marketers, technology teams, and regional stakeholders to test and refine accessible, engaging experiences across multiple form factors.

Lead delivery for an AI Foundations and Agents engineering team by managing planning, releases, dependencies, risks, Agile ceremonies, operational readiness, stakeholder coordination, and execution metrics. Improve engineering processes, delivery predictability, release management, and team effectiveness while aligning product, engineering, architecture, security, and platform teams to deliver shared AI capabilities.

Designs data-driven customer experiences, prototypes, dashboards, applications, chatbots, and digital interfaces using human-centered design, Lean UX, and Design Thinking. Collaborates with product, technology, marketing, regional, and industry teams to test and refine MVPs, develop personas and user journeys, maintain design patterns, and balance business goals with user engagement for global B2B and B2B2C products.

Designs customer experiences, proof-of-concepts, and minimum viable data products using human-centered design, Lean UX, Design Thinking, and rapid prototyping. Creates dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Collaborates with users, product managers, marketing, technology, and regional teams to develop usable, globally relevant data-driven products and contribute to design systems.

Leads software and data engineering teams building scalable data products and platforms for analytics, AI/ML, reporting, and real-time or batch decision-making. Responsibilities include team development, data access design, platform modernization, stakeholder alignment, roadmap delivery, reliability, security, compliance, observability, and continuous improvement.

Leads delivery for Mastercard’s AI Foundations and Agents engineering team. Drives planning, execution, release management, dependency and risk resolution, Agile ceremonies, operational readiness, stakeholder coordination, and engineering process improvement. Partners with product, engineering, architecture, security, and platform teams to improve delivery predictability, team effectiveness, and adoption of shared AI capabilities.

Leads software and data engineering teams responsible for scalable data products, analytics capabilities, and decisioning platforms. Oversees architecture, data access patterns, platform modernization, reliability, security, governance, and operational excellence. Partners with Product, Architecture, Data Science, and Engineering stakeholders to deliver strategic initiatives, develop talent, improve data quality, and accelerate trusted enterprise data consumption.