Top Tech Jobs & Startup Jobs in Dublin

Own and evolve an AI-native data platform and applications: define roadmap, treat data as product, establish SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance, and translate regional needs into scalable data products.

Build and lead a new Support & Retention Experience function to monitor customer health, establish post-production support (SLAs, escalations, tooling), automate playbooks, align cross-functional data and integrations, surface expansion opportunities, and provide senior leadership visibility to drive retention and platform adoption.

Own post-enablement customer experience for live production customers: monitor API performance and usage, define health scores and alerting, operate playbooks, coordinate SRE/engineering/product responses, surface diagnostics in-platform, identify expansion opportunities, and report adoption and retention metrics to leadership.

Own the post-enablement experience for live production customers: monitor API performance and health, define health scores and proactive alerts, build playbooks, coordinate incident resolution across SRE/engineering/product, surface in-platform guidance, identify expansion opportunities, review integrations for improvements, and report data-driven retention and adoption metrics to leadership.

Own and evolve an AI-native data platform and products: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies, APIs and workflows, operationalize agentic AI/HITL processes, ensure compliance and stakeholder alignment, and drive product strategy and delivery.

Own and evolve an AI-native data platform and applications: define roadmap and backlog, treat data as product with SLAs and governance, convert Mastercard data into reusable data primitives and schemas, lead cross-functional teams, partner with security/compliance/privacy/legal, operationalize agentic AI and HITL workflows, and drive product strategy, delivery, and stakeholder communication.

Own the post-enablement journey for live customers: monitor API performance and health, build health scores and playbooks, operate proactive alerting, coordinate issue resolution across SRE/engineering/product, surface in-platform guidance, identify expansion opportunities, and provide data-driven visibility and feedback to improve retention and platform adoption.

Lead product strategy and delivery for Mastercard's Data & AI platform and applications. Define roadmap, data-as-product practices (SLAs, governance, ontologies), guide cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance, and engage stakeholders to build scalable, user-centric data products.

Lead engineering for production-grade agentic AI products and reusable agent frameworks. Drive architecture, platform capabilities (lifecycle, retrieval, observability, safety), team scaling, AI tooling adoption, and cross-functional delivery to turn experiments into secure, scalable enterprise solutions.

Lead and build a Support & Retention Experience function to monitor customer health, create automated playbooks, run post-production support with SLAs/escalations, align cross-functional data and tooling, identify expansion opportunities, and report retention and support performance to senior leadership.