Top AI Jobs in Dublin

Leads Fin’s highest-priority company initiatives and complex cross-functional programs. The Senior Program Manager defines priorities, outcomes, ownership, and execution plans; partners with executives; resolves risks, blockers, and dependencies; uses data to inform decisions; and improves operating effectiveness. The role requires strong business judgment, communication, ownership, and the ability to navigate ambiguous, fast-paced environments while driving multiple strategic initiatives from conception through completion.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Own the vision, strategy, roadmap, and outcomes for RoomPriceGenie’s AI-powered revenue management product. Lead engineers and collaborate with design, research, leadership, integrations, customer success, sales, and account management. Translate complex pricing and forecasting logic into simple, explainable hotelier experiences, conduct customer discovery, define KPIs, prioritize trade-offs, and drive measurable adoption, retention, revenue uplift, and expansion.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Lead and close complex enterprise sales across a regional market, growing existing accounts and acquiring new customers. Build relationships with C-suite and senior technology and customer service leaders, manage sales pipelines and forecasts in Salesforce, and sell AI-driven solutions based on business value. The role requires consistently exceeding revenue targets, navigating long multi-stakeholder sales cycles, generating leads, and partnering with system integrators and hyperscalers in a high-growth environment.

Leads large-scale AI transformation engagements for strategic customers, partnering with C-suite executives to define AI strategy, secure sponsorship, drive organization-wide adoption, and deliver production-grade LLM and multi-agent systems. The role shapes commercial propositions, mentors consultants, develops delivery standards and intellectual property, and represents the company through external thought leadership. It requires extensive senior engineering leadership, current hands-on AI expertise, strong programming fundamentals, and proven organization-wide AI transformation experience.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

Drive new commercial customer acquisition across the UK and Ireland by building outbound pipeline, managing complex sales cycles, advising executive stakeholders, negotiating and closing deals, and expanding existing accounts. The role requires consultative value selling of Zendesk’s AI-powered platform, collaboration with cross-functional teams, and strategic use of sales and customer data.

Build and evolve Salesforce Service Cloud, Agentforce, AI agents, customer channels, and resilient integrations. Develop Apex, SOQL, Flow, and Lightning Web Components solutions; configure Omni-Channel; implement automation, monitoring, testing, and release practices; and evaluate AI performance using operational data. Partner with customer contact and technology teams to translate business needs into secure, scalable solutions while deciding appropriately between Salesforce configuration, custom development, deterministic automation, and generative AI.

Leads global software and AI engineering teams responsible for modernizing legacy enterprise platforms. Drives application development strategy, budget and resource planning, governance, risk management, and delivery outcomes. The role requires expertise in Generative AI, LLMs, prompt engineering, AI guardrails, data privacy, model risk management, Java, and Angular. It also involves mentoring engineering teams, influencing senior stakeholders, managing controls, and integrating AI across the software development lifecycle.

Leads enterprise delivery of AI solutions from concept through production, adoption, and scale. Manages AI engineering teams, roadmaps, backlogs, governance, releases, and delivery metrics. Oversees AI agents, copilots, generative AI applications, automation, machine learning, and enterprise integrations. Partners with business and technical leaders to prioritize opportunities, resolve dependencies, and ensure solutions are secure, scalable, governed, and operationally resilient.

Lead consultative sales and strategic customer engagements for AI Workforce solutions. Develop stakeholder networks, identify and close opportunities, communicate business value, coordinate internal teams and partners, and drive cross-sell and upsell activities. Serve as a subject matter expert on AI-powered productivity solutions, customer priorities, governance, competition, and adoption strategies.

Owns a customer territory and drives end-to-end sales of Microsoft AI-powered business process solutions. Responsibilities include territory planning, forecasting, customer discovery, solution selling, stakeholder mapping, partner collaboration, pipeline development, deal execution, adoption planning, and revenue growth. The role requires engaging French- and English-speaking customers, explaining AI-enabled transformation across sales, service, finance, and operations, and coordinating account, technical, services, and partner teams to close opportunities.

Leads a hands-on engineering team delivering reliable MarTech, customer, commercial, and AdTech platforms. Responsibilities include managing 6–10 engineers, contributing to design and code review, implementing AI-assisted development, RAG and vector database patterns, cloud and CI/CD practices, SRE reliability, observability, AI security guardrails, and cost controls. The manager translates product roadmaps into engineering plans, partners cross-functionally, reports delivery risks, and coaches engineering talent.

Leads multiple global software and AI engineering teams responsible for application development, platform modernization, and legacy system transformation. Drives adoption of Generative AI, LLMs, and prompt engineering across the software development lifecycle while overseeing AI governance, data privacy, model risk management, budgets, standards, compliance, and talent development. Partners with senior stakeholders to deliver intelligent enterprise platforms and manage technology risks.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Provides phone, chat, and email support to Italian- and English-speaking legal professionals. Responsibilities include diagnosing and resolving product issues, educating customers, managing issues end to end, identifying opportunities for additional products, and sharing customer and market feedback with Product teams. The role requires strong communication, analytical, problem-solving, multitasking, ownership, and adaptability, with opportunities for growth into other business roles.

Leads AI transformation across global programs and operations by identifying use cases, running pilots, designing AI-enabled workflows and dashboards, and establishing governance and adoption standards. Translates stakeholder needs into precise system specifications, process models, user stories, and executable rules. Partners with IT, vendors, and business leaders to implement AI solutions, improve efficiency, reduce manual work, and deliver measurable business value. Mentors teams and drives initiatives from discovery through execution and behavioral sign-off.

Drive enterprise sales of Microsoft AI Workforce, Copilot, cloud, and modern work solutions. Identify customer needs, build stakeholder relationships, articulate business value, develop opportunities, collaborate with technical specialists and partners, and execute end-to-end sales activities including forecasting, competitor planning, cross-selling, upselling, and closing. Turkish communication skills and technology-related sales or account management experience are required.

Leads a team of Central Monitors and develops risk-based clinical trial monitoring strategies. Oversees trial-data surveillance, signal detection, risk reviews, and actionable insight generation. Partners with clinical, data, and risk teams to protect patient safety, data integrity, regulatory compliance, and trial quality. Guides protocol risk assessments, Key Risk Indicator and threshold design, issue resolution, audit readiness, and continuous improvement through analytics, technology, and Risk-Based Quality Management.

Leads Vertiv’s EMEA digital manufacturing transformation across multiple plants. Owns digital roadmaps, maturity assessments, technology pilots, Industry 4.0 and AI/ML initiatives, IT/OT integration, data governance, operational dashboards, and change management. Evaluates and scales solutions including MES, IoT, digital twins, predictive maintenance, computer vision, and paperless shop-floor tools. Partners with plant, IT, engineering, quality, and leadership teams to deliver measurable operational improvements. The role requires approximately 50% travel across EMEA.

Develop analytical assessments, benchmarking analyses, future-state process designs, and change-impact recommendations for AI-driven business transformation. Design AI integration points, agent behaviors, autonomy levels, and human handoffs within redesigned processes. Support digital and platform solutions, create AI-assisted visualizations and frameworks, improve functional playbooks, and contribute domain expertise in a consulting environment.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Drive enterprise solution sales for Microsoft Modern Work, AI, Copilot, and cloud offerings to French-speaking enterprise or public-sector customers. Identify business needs, develop tailored solutions, build stakeholder relationships, lead value-selling conversations, coordinate internal teams and partners, and close new business. The role includes account planning, forecasting, competitive analysis, cross-selling, up-selling, and end-to-end sales execution.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.