Solutions Consultant

Zendesk Zendesk · Enterprise · Spain +1 · Remote

This role is a Solutions Consultant at Zendesk, focusing on customer experience and employee services. The primary responsibility is to partner with customers to understand their challenges, assess their AI readiness, and design/showcase innovative solutions that leverage Zendesk's AI capabilities. The role involves translating advanced AI/ML concepts into business-focused narratives, architecting scalable solutions using Zendesk APIs and cloud platforms, and demonstrating the ROI of AI-driven features through analytics and performance metrics. While the role deeply understands and applies AI technologies, it does not involve building or shipping AI models directly, but rather integrating and selling solutions that utilize them.

What you'd actually do

  1. Lead Technical & Business Discovery: Conduct thorough discovery sessions to understand customer challenges, perform AI readiness assessments, and design tailored demos, and proofs of value that demonstrate Zendesk’s differentiated value.
  2. Architect AI-Driven CX & ES Solutions: Translate advanced AI/ML capabilities (such as automation, conversational bots, predictive analytics, and orchestration)into clear, business-focused narratives for diverse audiences from IT to the C-suite.
  3. Drive Technical Strategy Through the Sales Cycle: Own the end-to-end technical engagement, from qualification and design through pilot execution. , Ensuring each solution aligns with customer goals and compliance standards.
  4. Integrate & Scale: Architect secure, scalable solutions leveraging Zendesk APIs, middleware, telephony systems, and cloud platforms (AWS, Azure, GCP) that enable seamless workflows and automation.
  5. Measure & Optimize Impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement.

Skills

Required

  • 5+ years of presales or solutions consulting experience in SaaS, CX, or enterprise software environments.
  • Strong knowledge of web/scripting technologies and SaaS architectures.
  • Proven experience designing and executing customer pilots and proofs of concept that demonstrate business value.
  • Deep understanding of AI technologies (LLMs, ChatGPT, NLP, MCP automation frameworks) and their practical applications in CX.
  • Expertise in one or more of the following domains: CCaaS, Customer Service software, ITSM, Business Intelligence, Workforce Management, or Integration & Middleware.
  • Strong analytical and storytelling abilities.
  • Excellent interpersonal, communication, presentation, and writing skills.
  • Bachelor’s degree or equivalent work experience

Nice to have

  • graduate degree a plus

What the JD emphasized

  • AI readiness assessments
  • Translate advanced AI/ML capabilities
  • Deep understanding of AI technologies (LLMs, ChatGPT, NLP, MCP automation frameworks) and their practical applications in CX
  • AI performance metrics