Top Product Management Jobs in Dublin

Develops B2B payment products for small and mid-market businesses, taking capabilities from customer research and market validation through requirements, technical design, engineering delivery, testing, launch, and optimization. Manages product backlogs, prioritizes features, defines APIs and integrations, collaborates with engineering and technology partners, analyzes product data, and communicates roadmap and performance updates to stakeholders.

Develop and validate B2B payments product capabilities for small and mid-market businesses. Translate customer and business needs into product requirements, epics, user stories, APIs, workflows, and acceptance criteria. Manage backlogs, prioritize features, coordinate with engineering and architecture teams, support delivery and releases, evaluate partner integrations, and use performance and customer data to improve products.

Develops B2B payment products for small and mid-market businesses, translating customer and market needs into product requirements, APIs, workflows, user stories, and technical specifications. Manages backlogs, prioritizes features, collaborates with engineering and architecture, supports testing and releases, evaluates integrations, and uses data to improve platform performance and adoption.

Develops B2B payments products for small and mid-market businesses, taking capabilities from customer research and validation through requirements, engineering delivery, testing, launch, and optimization. Manages product backlogs, APIs, integrations, data models, workflows, documentation, and success metrics while partnering with engineering, architecture, design, data science, vendors, and stakeholders.

Leads B2B payments product development for small and mid-market businesses. Translates customer needs and market opportunities into product requirements, epics, user stories, acceptance criteria, APIs, workflows, and data models. Manages backlogs and prioritization while partnering with engineering, architecture, design, data science, and technology providers throughout delivery. Supports testing, launches, performance measurement, stakeholder communication, and continuous platform optimization.

Develops B2B payment products for small and mid-market businesses, translating customer and market needs into product requirements, APIs, user stories, and technical specifications. Owns backlog prioritization, collaborates with engineering and architecture through delivery, supports integrations with technology providers, and uses product and customer data to optimize platform capabilities and outcomes.

Develops B2B payment products for small and mid-market businesses, translating customer and market needs into product requirements, APIs, workflows, user stories, and acceptance criteria. Manages backlogs, prioritizes features, partners with engineering and architecture, supports testing and releases, evaluates integrations, and uses data to improve platform performance and adoption.

Supports features for an AI-led client data onboarding product, focusing on data pipelines, quality, and user experience. Responsibilities include documenting requirements, acceptance criteria, backlog priorities, user testing, performance tracking, dependency coordination, governance evidence, launch readiness, and product documentation. The role collaborates with Engineering, Data Science, UX, Data Delivery, and business stakeholders while addressing privacy, security, responsible AI, PCI, and PII considerations.

Support features for an AI-led client data onboarding product, covering data pipelines, quality, agent workflows, and user experience. Translate user needs into requirements, acceptance criteria, and success measures; maintain backlog items; coordinate engineering, UX, data, security, privacy, and business stakeholders; support testing, governance, launch readiness, documentation, and performance tracking. Monitor onboarding efficiency, approval effort, data quality, risks, and dependencies while recommending corrective actions.

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, and measurable outcomes; maintains backlog items; coordinates engineering, UX, data, security, privacy, and business stakeholders; supports testing, launch readiness, governance, documentation, and performance tracking.