Top Product Management Jobs in Dublin

Supports features for an AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Translates user and business needs into requirements, acceptance criteria, and success measures; manages backlog items; coordinates Engineering, Data Science, UX, and business stakeholders; tracks delivery, risks, dependencies, and performance; and supports governance, responsible AI, security, privacy, testing, documentation, and client rollout readiness.

Supports an AI-led client data onboarding product across data pipelines, data quality, and user experience. Translates user and business needs into requirements, acceptance criteria, backlog items, and measurable outcomes. Coordinates engineering, UX, data science, governance, and business stakeholders through delivery, testing, launch readiness, and performance tracking. Monitors onboarding efficiency, approval effort, data quality, risks, dependencies, and responsible AI, security, privacy, and PCI/PII compliance.

Supports features for an AI-led client data onboarding product, translating user and business needs into requirements, acceptance criteria, backlog updates, testing plans, and measurable outcomes. Coordinates with Engineering, Data Science, UX, and business stakeholders on data pipelines, data quality, agentic workflows, governance, privacy, security, and launch readiness. Tracks dependencies, product performance, risks, and onboarding improvements while maintaining documentation and supporting client rollouts.

Supports features for an AI-led client data onboarding product, focusing on data pipelines, quality, user experience, and agentic workflows. Responsibilities include writing requirements, acceptance criteria, and specifications; validating user problems; managing backlog items; coordinating engineering, UX, data, and business stakeholders; tracking delivery risks and performance; supporting testing, governance, responsible AI, security, privacy, and launch readiness; and maintaining product documentation.

Supports features for an AI-led client data onboarding product, focusing on data pipelines, data quality, and user experience. Responsibilities include writing requirements and acceptance criteria, validating user problems, maintaining the backlog, coordinating engineering and data dependencies, supporting testing and launch readiness, tracking performance, documenting decisions, and addressing privacy, security, and responsible AI requirements across financial-services stakeholders.

Supports features for an AI-led client data onboarding product, translating user and business needs into requirements, acceptance criteria, and measurable outcomes. Coordinates with Engineering, Data Science, UX, and business stakeholders on agentic workflows, data pipelines, quality checks, testing, backlog prioritization, governance, and launch readiness. Tracks delivery risks, dependencies, onboarding performance, data quality, user feedback, and responsible AI, security, privacy, and PCI/PII considerations.

Supports an AI-led client data onboarding product, focusing on data pipelines, data quality, onboarding experiences, requirements, backlog management, testing, performance tracking, governance, and launch readiness. Partners with Engineering, Data Science, UX, Data Delivery, and business stakeholders to define agentic workflows, validate user needs, manage dependencies, address risks, and scale onboarding across financial and regulatory industries.

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.

Provides Tier 1 and Tier 2 support for Monday.com and Aha!, including onboarding, configuration, user provisioning, training, troubleshooting, vendor coordination, and issue resolution. The role configures workflows, dashboards, templates, and automations; supports integrations and change requests; monitors platform data quality and resiliency; and develops reporting, documentation, and training resources to drive enterprise adoption.

Provides Tier 1 and Tier 2 support for Monday.com and Aha! across the enterprise. Responsibilities include customer onboarding, license validation, workspace configuration, user training, issue resolution, vendor coordination, workflow automation, reporting, documentation, change-request support, and platform data quality monitoring. Partners with engineering and product teams to troubleshoot integrations, roll out enhancements, and drive adoption of agile work management tools.