Jobs at Zendesk

Lead complex Zendesk SaaS implementation programs across EMEA from mobilization through go-live. Manage customer outcomes, budgets, risks, governance, commercial commitments, cross-functional teams, partners, and executive stakeholders. Translate business objectives into measurable delivery plans, oversee technical dependencies, manage escalations, support pre-sales, improve delivery methodologies, and coach team members. The role requires fluency in English and German, strong program management expertise, technical understanding of CX and AI solutions, and periodic customer-site travel.

Own the full B2B sales lifecycle across the UK and Ireland, acquiring commercial customers, expanding existing accounts, managing complex negotiations, and exceeding revenue targets. Build executive relationships, present AI-powered SaaS solutions, develop territory and account plans, maintain pipeline forecasts, and collaborate with internal teams. The role requires strong value-selling, deal-closing, renewal, cross-selling, and customer retention capabilities.

Drive revenue growth by acquiring and expanding SMB customers through consultative B2B SaaS sales. Manage prospecting, complex sales cycles, pipeline forecasting, renewals, cross-selling, and upselling. Use AI insights and customer data to develop value cases, discuss technical integrations, and build transformation roadmaps. Collaborate with marketing, customer success, solutions engineering, and product teams while maintaining accurate Salesforce forecasts and meeting revenue targets.

Leads Zendesk’s EMEA Sales Engineering organization, driving enterprise market expansion, technical win rates, proof-of-concept standards, and customer adoption. Recruits and develops sales engineering leaders, partners with regional sales executives, and serves as a technical evangelist for AI-powered customer experience solutions. The role requires executive presence, public speaking, enterprise architecture expertise, cloud and integration knowledge, and strong understanding of generative AI, LLMs, and CX technologies.

Lead technical deal cycles for enterprise and commercial accounts: perform technical discovery, design solutions, build POCs and AI-driven workflows, configure integrations and APIs, ensure security/compliance, and advocate product feedback to internal teams.

Design, build, and maintain ELT pipelines and dbt SQL models for analytics; optimize performance, scalability, and costs; apply AI-enabled tools to improve engineering workflows; collaborate to translate requirements into production-grade data assets.