Top Tech Jobs & Startup Jobs in Dublin

The Customer Success Manager focuses on helping customers achieve business outcomes using Zendesk solutions, ensuring product adoption, and managing customer health through engagement. Responsibilities include fostering relationships, providing customer feedback, and collaborating with internal teams.

The AI Specialist, Customer Success role focuses on driving adoption of Zendesk's AI solutions and ensuring customer success through proactive engagement and support across different organizational levels.

The Partner Sales Executive will recruit and onboard partners, achieve sales targets, and collaborate with teams to drive partner and customer success.

The Senior Database Engineer maintains the reliability and performance of data environments, manages database servers, implements security protocols, and designs cloud infrastructure.

The Staff ML Engineer will design and optimize ML platform components, enabling scalable and reliable AI-driven experiences at Zendesk, while collaborating with various engineering functions.

The Senior Machine Learning Scientist will design and implement AI solutions, manage research projects, and collaborate with cross-functional teams to improve the AI Agent product at Zendesk.

The Senior Engagement Manager leads complex customer implementation projects, ensuring exceptional outcomes through strong project management, communication, and strategic oversight, while improving delivery methodologies and mentoring team members.

The role involves analyzing AI-driven metrics, developing insights on customer interactions, collaborating with teams to enhance analytics reporting, and translating data into actionable strategies. The analyst will also handle complex SQL queries and validate AI performance measures.

The AI Services Consultant ensures successful customer onboarding for Zendesk products by managing project delivery, guiding solution design, and optimizing customer experiences through automation and AI integrations.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.