Top AI Jobs in Dublin

Own the full customer sales cycle for mid-market accounts across the Nordics, from pipeline generation and discovery through solution design, commercial negotiations, close, adoption, expansion, and renewal. Build workflow solutions live in Notion, articulate measurable business value, navigate procurement, legal, and security reviews, and coordinate BDRs, Outcomes Architects, and product specialists while maintaining ownership of customer relationships and opportunity momentum.

Own the full commercial sales cycle across Benelux, from pipeline generation and discovery through proposal, negotiation, close, adoption, expansion, and renewal. Build workflow solutions live in Notion, articulate measurable business value, navigate procurement, legal, and security reviews, and coordinate BDRs, architects, and product specialists. The role requires technical fluency, AI curiosity, customer engagement skills, and ownership of quota and commercial outcomes.

Support the roadmap and lifecycle management of Mastercard’s emerging data, analytics, and AI products. Partner with engineering, data science, design, CX, regional, sales, and marketing teams to deliver scalable B2B solutions. Develop sales enablement materials, train frontline teams, support customer engagements, establish product management disciplines, and make technical and commercial tradeoff decisions to improve functionality, feasibility, and time to market.

Leads the strategy, development, and scaling of data analytics, automation, machine learning, and applied AI capabilities. Owns the data operations roadmap, identifies high-value use cases, and takes solutions from proof of concept through production, adoption, and measurable impact. Oversees BI, reporting, data management, dashboards, data quality, and decision support while partnering with engineering, product, technology, and business teams. Builds and develops a high-performing team of data and analytics specialists.

Develops end-to-end data science and machine learning solutions, including data pipelines, feature engineering, model training, testing, deployment, serving, and monitoring. Partners with business stakeholders to define requirements and evaluate model performance. Works with large, disparate datasets and cloud data platforms while applying deep learning and AI techniques to improve customer-facing products and business outcomes.

Develops end-to-end data science and machine learning solutions for customer-facing products. Responsibilities include data analysis, feature engineering, model training, testing, deployment, serving, monitoring, pipeline development, and production model evaluation. The role uses large, disparate datasets and cloud data platforms while partnering with business owners to improve data and model performance.

In-person JPMorganChase Dublin event showcasing cybersecurity careers and emerging AI security challenges. Attendees will learn how technologists address AI agent authentication, data access controls, threat modeling, misuse prevention, and safeguards for intelligent systems handling sensitive financial data. The event offers networking, career discussions, and insight into security engineering, AI, threat modeling, data, and human-centered design opportunities.

Manage product strategy, roadmaps, backlogs, and Agile delivery for clinical decision support applications and platform capabilities. Partner with engineering, architecture, clinical, regulatory, and business stakeholders to define requirements, prioritize features, manage Jira boards, coordinate dependencies, and support technical decisions. Ensure products meet healthcare, quality, regulatory, interoperability, clinical safety, and customer outcome expectations across regulated software environments.

Leads security engineering teams and technical areas across enterprise technology. Oversees security solutions for cloud applications and infrastructure, complex cross-functional initiatives, staffing, budgets, governance, and operational outcomes. Establishes standards for secure AI-assisted workflows, evaluates AI recommendations, and ensures auditability, resiliency, and data protection. Requires expertise in threat modeling, vulnerability management, application security, cloud security engineering, talent development, and security product delivery.

Leads enterprise architecture for employee platforms, advising teams on technology selection, developing multi-year roadmaps, and guiding secure, high-quality cloud application development. Applies AI-enabled engineering patterns with human validation, auditability, resiliency, and security controls. Evaluates emerging technologies, represents the organization in technical forums, serves as a subject matter expert, and communicates architecture decisions to senior executives. The role also requires product ownership experience and may involve managing a small team.

Designs data-driven digital products across web, mobile, dashboards, chatbots, voice interfaces, and IoT. Leads UX research, personas, journeys, information architecture, rapid prototyping, visual design, Design Thinking workshops, and iterative user testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, compliant, and engaging B2B and B2B2C experiences.

Leads user experience, interaction, visual, and product experience design for data-driven digital products. Creates prototypes, MVPs, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, maintain design patterns, and deliver accessible experiences across web, mobile, wearable, and IoT platforms.

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.

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.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads user research workshops, develops personas and journeys, creates interaction and visual designs, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and cohesive experiences across web, mobile, wearable, and IoT platforms while incorporating AI, machine learning, responsive design, and iterative user testing.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and other experiences using human-centered design. Leads Design Thinking workshops, develops personas and user journeys, creates visual and interaction designs, conducts iterative user testing, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and visual language while balancing user engagement, business goals, accessibility, and regulatory requirements.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads workshops, develops personas and user journeys, creates interaction and visual designs, conducts iterative user testing, and contributes to design systems. Partners with product, technology, marketing, and regional teams to deliver accessible, responsive experiences across web, mobile, wearable, and IoT form factors.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Leads human-centered design, Design Thinking workshops, user research, interaction and visual design, information architecture, and iterative usability testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible experiences across multiple devices and form factors while supporting AI- and ML-enabled products.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Creates interaction and visual designs across web, mobile, wearable, and IoT form factors; leads workshops, user research, prototyping, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences that balance business goals with user engagement.

Designs data-driven digital products and experiences across web, mobile, IoT, dashboards, chatbots, and voice interfaces. Leads human-centered design, rapid prototyping, Design Thinking workshops, user research, visual and interaction design, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, usable, and compelling global experiences while contributing to design systems and exploring AI- and ML-enabled product opportunities.

Leads user experience, interaction, and visual design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, establish design patterns, and deliver accessible, engaging experiences across multiple form factors.

Serve as Scrum Master for Data and Analytics teams by facilitating Agile ceremonies, coaching teams and stakeholders, managing risks and dependencies, improving delivery predictability, and driving continuous improvement. The role partners with Product Owners and business and technology leaders to align priorities, coordinate multi-team delivery, support governance processes, and promote Agile maturity across complex data, analytics, and technology initiatives.

Lead Workhuman’s enterprise AI portfolio and governance framework, from use-case intake and prioritization through delivery oversight and value realization. Establish risk-based controls covering privacy, security, data, model behavior, human oversight, third parties, and responsible AI. Partner with business and technology stakeholders, improve accountability, track outcomes and dependencies, create reusable governance standards, and provide executive-level reporting on AI investment, adoption, value, and risk.

Leads product strategy and roadmap for Mastercard’s developer platform, focusing on agentic developer tooling, MCP servers, CLI tools, AI-powered API discovery, and commercialization. Partners across Product, Engineering, Sales, Marketing, and Strategy to define priorities, align stakeholders, test market hypotheses, establish success metrics, and build a new developer distribution channel from 0 to 1.

Lead cross-functional, customer-facing programs that deliver scalable AI solutions from conception through production. Partner with engineers, product teams, designers, and strategic customers to define milestones, manage risks and dependencies, remove delivery obstacles, oversee AI/ML deployment and releases, and establish repeatable processes. The role requires translating ambiguous business objectives into execution plans, maintaining stakeholder alignment, and driving measurable customer outcomes.