Top Tech Jobs & Startup Jobs in Dublin

Lead large, complex customer deployments of Intercom and Fin, define scope and success metrics, manage timelines and stakeholders, perform hands-on platform configuration and integrations, coordinate technical readiness and data migrations, track adoption and outcomes, and evolve deployment methodology and best practices.

Manage full sales cycle for Mid-Market customers: prospect, demo, forecast, and close new SaaS business; evangelize product, mentor teammates, and represent customer feedback to Product and Marketing.

The Account Executive will manage the sales cycle for Mid-Market clients, driving product adoption and contributing to team growth while maintaining strong client relationships.

The Senior Mid-Market Account Executive will lead sales growth by managing the full sales cycle, forecasting revenue, and engaging in team development while maintaining product knowledge and tailoring demonstrations to client needs.

As a Mid-Market Account Executive, you will manage the full sales cycle and evangelize Intercom's AI customer service product, driving its adoption across Mid-Market clients while mentoring team members and contributing to overall business growth.

Design AI behaviors, workflows, and user experiences, ensuring systems function reliably and integrate into user workflows. Collaborate with teams to define AI capabilities and evaluate system performance.

The Senior Full Stack Engineer will design and maintain end-to-end web solutions, collaborate with teams for intuitive user experiences, develop backend logic and APIs, optimize website performance, and manage infrastructure using various tools.

As a Principal Engineer, you will lead the technical direction and architecture of Intercom's web platform, collaborating with various teams to ensure performance, scalability, and reliability. Responsibilities include mentoring engineers, defining long-term strategies, and contributing to the codebase.

Lead a product team owning roadmap, customer research, scoping MVPs, collaborating with design and engineers, running experiments and metrics, and delivering high-quality AI customer-agent features while motivating the team.

The AI Infrastructure Engineer will develop systems for model training and inference, optimize GPU performance, and mentor junior engineers, contributing to AI products at scale.