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The job description is for a Zendesk AI Service Consultant, focusing on onboarding customers and ensuring their successful implementation of Zendesk products. This role entails clarifying customer objectives, defining project scopes, and guiding clients through the onboarding process, particularly regarding AI agent implementation. The consultant must maintain expertise in Zendesk's product suite, lead customer implementations, and provide support for effective change and release management. Ideal candidates should be fluent in English and either French or German, with experience in customer experience automation, service delivery, and CRM systems. The position offers a hybrid work model, with a recommendation for in-office collaboration once a week and flexibility to adjust working hours based on customer needs.

Zendesk is seeking a Senior Data & Analytics Analyst for its Analytics Prototyping team to enhance AI analytics by measuring the value delivered by AI agents. The role requires strong SQL skills and the ability to craft clear narratives from complex data analyses for various audiences. Key responsibilities include collaborating with stakeholders to develop relevant metrics, analyzing customer interaction trends, and prototyping new metrics to assess AI and human support operations. The ideal candidate should have a background in data science, at least five years of analytical experience, and familiarity with data visualization tools, while experience in AI or machine learning is preferred. The position offers a hybrid work environment, combining in-office collaboration with remote flexibility.

The CCaaS CSM Specialist role at Zendesk is focused on helping customers optimize their use of Zendesk's Contact Center as a Service (CCaaS) solutions to achieve business results. This position involves engaging with various stakeholders within customer organizations to drive adoption and demonstrate measurable value from the platform. Key responsibilities include leading customer engagements, providing onboarding support, and ensuring alignment with broader customer success strategies. The role requires strong consultative skills and a deep understanding of contact center operations and performance metrics. Additionally, Zendesk promotes a hybrid work environment and emphasizes its commitment to diversity and inclusion within the workplace.

Zendesk is seeking a Data Engineer for its Zendesk Analytics Prototyping (ZAP) team to enhance CRM insights and customer support tools by building a solid data foundation. The role involves designing scalable data solutions, developing and maintaining ELT pipelines, optimizing SQL-based data models, and improving data delivery systems. Candidates should have over three years of data engineering experience, a strong background in SQL, experience with dbt, and proficiency in programming languages such as Python. Preferred qualifications include a SnowPro Core certification and familiarity with Lean/6 Sigma principles related to CRM analytics. The position offers a hybrid work environment, promoting collaboration in the office while allowing remote work flexibility.

The job title is Global Security & Safety (GSS) Intelligence & Response Coordinator for the EMEA region, located in Dublin or London, with a combination of in-office and hybrid work opportunities. The position involves supporting Zendesk's Global Security & Safety team through responsibilities such as threat reporting, alarm monitoring, and life safety incident responses. The role requires a proactive mindset, strong interpersonal and communication skills, and a commitment to continuous improvement. Applicants should have a customer-service approach, fluency in English, and experience in problem-solving and collaboration, with preferred qualifications including roles in intelligence analysis or security environments. Zendesk emphasizes its inclusive workplace and offers reasonable accommodations for applicants with disabilities.

The Zendesk Analytics Prototyping (ZAP) team is looking for a Staff Data & Analytics Analyst to enhance AI analytics by measuring the value delivered by AI agents to customers. The ideal candidate should possess strong SQL skills, an analytical mindset, and the ability to convey complex analyses clearly to diverse audiences. Key responsibilities include partnering with stakeholders to align on business metrics, analyzing customer interaction data, and collaborating with product and engineering teams to generate insights. Required qualifications include a bachelor’s degree in a related field, over seven years of experience in data analysis, and expertise in SQL and advanced analytics tools. Zendesk promotes a hybrid work environment and values diversity and inclusion within its workforce.