Technical Demo Engineer

Technical Demo Engineer

Omilia is a leader in enterprise Conversational AI, enabling some of the world's largest brands to deliver natural, reliable, and highly controlled customer interactions  platform is purpose-built for mission-critical customer care environments where accuracy, predictability, and deep integration matter.

We are seeking to recruit our new Technical Demo Engineer to serve as the "Architect Behind the Curtain" for our LATAM expansion. Unlike traditional sales roles that are purely client-facing, this position is focused on designing and building the sophisticated Conversational AI demos that our consultants use to showcase Omilia's vision, ensuring our demos are technically robust and strategically aligned with enterprise needs.

This is a technical role with a pre-sales heartbeat.

Key Responsibilities

• Design, build, and maintain high-impact product demos that showcase Omilia's conversational AI platform across voice and digital channels.
• Customize demos to reflect customer-specific use cases, industries (e.g., insurance, banking, retail), and operational environments.
• Ensure demos highlight Omilia's strengths in control, reliability, scalability, and enterprise readiness.
• Continuously evolve demo content to reflect new product features, roadmap updates, and market feedback.

• Partner with Account Executives throughout the sales cycle, from discovery through proof points and final presentations.
• Deliver live demos to technical and non-technical stakeholders, including executives, IT leaders, and contact center operators.
• Support technical deep dives, architecture discussions, and solution validation sessions when needed.

• Serve as the primary technical resource for the sales team, translating complex AI concepts (NLU, ASR, LLMs) into "show-stopping" demo features.
• Understand customer requirements and map them to Omilia's platform capabilities.
• Configure conversational flows, integrations, and AI components to simulate real production scenarios.
• Explain complex AI concepts (NLU, ASR, LLM usage, guardrails) in clear, business-relevant terms.

• Provide feedback to Product and Engineering based on demo usage and customer reactions.
• Help standardize demo best practices, documentation, and reusable assets.
• Contribute to internal enablement by training sales teams on how to position and leverage demos effectively.