Conversational Design, Demo Engineer

About the Role

As a Conversational Design, Demo Engineer you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers.

Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact. You will leverage your understanding of different contact center verticals, such as financial services, insurance, telecommunications, retail and much more to tailor designs that resonate with each customer’s unique environment and goals.

This role requires close collaboration across Machine Learning, Product, Data Science, Customer Success, and Sales Engineering teams to ensure every customer-facing experience reflects the best of Cresta’s AI product suite.

Responsibilities:

• Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios.
• Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments.
• Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion.
• Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.
• Design dashboards that tell a compelling business story. Be meticulous in defining metadata layers and required attributes to make demo environments feel authentic and industry-specific
• Pro in Establishing structured Gen AI frameworks for e.g. complaint detection, customer experience measurement, repeat call analysis, and other traditionally subjective evaluation areas using Generative AI best practices. Develop scalable methodologies that move beyond keyword-based logic toward AI-driven contextual understanding.
• Lead the design of QA automation frameworks that maximize projection and coverage through a combination of GenAI capabilities and advanced keyword features, reducing subjectivity while increasing consistency, accuracy, and scalability.
• Build cross-vertical expertise (e.g., insurance, banking, telecom, retail, hospitality).