# Conversation Designer

**Company:** [Decagon](https://hotfix.jobs/companies/decagon)
**Location:** Remote
**Role:** Product Design
**Salary:** $160k – $200k/yr
**Experience:** 5+ years
**Skills:** Conversational AI, voice design, speech synthesis, LLMs, RAG, tts, Evaluation Frameworks, rubrics, qa processes, conversation design
**Posted:** 2026-07-22

> Design and optimize enterprise AI conversation experiences across voice, chat, and other channels for Decagon's conversational AI platform. Advise customers, build evaluation frameworks, and partner with engineering/product teams to improve agent quality, especially in voice.

## Job Description

## Responsibilities
- Design and optimize enterprise-grade AI conversation experiences across chat, voice, SMS, and email channels.
- Serve as a trusted advisor to customers and internal stakeholders on conversation design best practices.
- Evaluate voice quality and interaction patterns to maintain a high bar for naturalness and appropriateness.
- Build repeatable frameworks for assessing conversation and voice performance.
- Enable the Customer team to apply strong design judgment independently.
- Partner cross-functionally with Engineering and Product to investigate quality gaps and drive improvements through clear recommendations.
- Share learnings and create documentation on best practices to improve consistency and raise the quality bar across deployments.
- Advise customers and internal teams on conversation design and voice selection.
- Evaluate and iterate on voice quality across providers, languages, and use cases.
- Build playbooks, rubrics, and evaluation frameworks that scale best practices across the team.
- Partner with Engineering and Product to translate field insights into platform improvements.

## Requirements
- 5+ years of relevant experience (e.g., voice experience design, conversation designer, product manager, applied linguistics, etc.).
- Hands-on experience with voice — conversational AI, speech synthesis, or audio production.
- Experience migrating NLU systems to LLM and understanding key use cases for RAG functionality improvements.
- Experience building evaluation frameworks, rubrics, or QA processes.
- Strong communicator across technical and business contexts.
- Comfortable working close to the product in a fast-moving environment.

## Nice-to-Haves
- Native or professional fluency in Spanish and/or familiarity with other languages.
- Experience with TTS providers or speech synthesis tools.
- Hands-on experience with frontier AI tools and deployment in enterprise or high-impact settings.

## Compensation
$160k - 200k + equity

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