Jobs at Zendesk

Provides technical consulting for Zendesk AI implementations, configurations, integrations, optimization, and adoption. Leads AI projects end to end, manages scope and timelines, trains stakeholders, supports change management, removes technical blockers, and aligns solutions with measurable customer outcomes. Partners with Customer Success and Sales to develop AI roadmaps, improve adoption, and support retention and expansion through analytics, success plans, and executive communication.

Own enterprise customers’ AI adoption roadmaps from deployment through expansion. Lead discovery, success planning, solution design, stakeholder alignment, partner coordination, adoption measurement, and responsible AI guidance. Translate Zendesk AI capabilities into business outcomes, improve automated resolution and retention, identify risks, and drive renewals and account growth through executive partnerships and cross-functional delivery.

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.

Lead end-to-end AI adoption and multi-year roadmaps for enterprise customers, align cross-functional teams, design solutions, measure AI adoption and commercial impact, advise on responsible AI and compliance, and drive retention and expansion through outcome-driven success plans.

Designs AI-powered Zendesk platform architectures for enterprise customers, leads technical discovery and proof-of-concept engagements, and advises executives during complex sales opportunities. The role architects agentic workflows, APIs, MCP and iPaaS integrations, enterprise data connectivity, security, and scalable SaaS solutions. It leads pre-sales to implementation handoffs, supports AI quality and expansion initiatives, and partners with product teams on roadmap development.

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.

The Senior Sales Product Specialist will expand the Employee Service account base, manage the sales cycle, conduct ROI analyses, and collaborate with product development while achieving sales quotas.

Drive revenue and adoption of Zendesk’s AI products within a defined territory. Own sales quotas, prospect, conduct tailored demonstrations, support proof-of-concepts, and close new and expansion business. Partner with account executives, customer success, and regional leadership to develop sales strategies, identify cross-sell opportunities, model commercial value, and maximize automation-related revenue. Serve as an AI subject matter expert, enable sales teams, and communicate product updates and market insights.

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.