Netomi - Sr. Conversation Designer
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Requirements
• Experience in Conversational AI: 2–4 years of experience designing AI Agents (voice, chat, email, and messaging) that balance user needs with technical requirements. • Prompt Engineering & LLM Familiarity: Understanding how large language models work and how to optimize prompts with examples, context, and constraints. • Domain Expertise (Nice to Have): Experience designing conversational experiences in regulated industries such as airlines, financial services, healthcare, or retail. • Scalability & Frameworks: Proven ability to design reusable frameworks, templates, and scalable patterns for enterprise-grade deployments. • Prototyping & Innovation: Experience creating multiple demos or prototypes showcasing cutting-edge capabilities of agentic AI. • Communication Skills: Exceptional written and verbal communication skills, with the ability to convey technical requirements and design decisions to internal and external stakeholders. • In order to ensure a fair and equitable recruitment process, Netomi requests that all applicants refrain from using any artificial intelligence language model to generate application responses and/or content. Any application that is found to have been a product of using such tools may be excluded from consideration. • Disclaimer: For all United States-based applicants, please note that Netomi participates in E-Verify for the purpose of work authorization. More information on E-verify can be found here and here.
Responsibilities
• Customer Experience Strategy: Engage with clients to understand their business goals, customer personas, and resolution paths • Prompt Design & Optimization: Write, test, and refine AI prompts and system instructions to optimize clarity, tone, and model performance across different channels. • Tone & Voice Governance: Define tone of voice guidelines, ensuring consistency with brand standards while adapting for channel (chat vs. SMS vs. voice). • Multi-Intent & Context Handling: Design experiences that gracefully handle multi-intent queries, context switching, and proactive interactions. • Analytics & Iteration: Partner with analytics teams to monitor live performance (containment, abandonment, sentiment) and use insights to continuously improve conversation flows. • Documentation: Maintain libraries of reusable conversation patterns, error handling scripts, and test scorecards for internal consistency.
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