Decagon Conversation Designer at Decagon shaping AI conversation experiences across multiple channels for enterprise customers. Advise on conversation design and voice quality, and build scalable frameworks for evaluation.
Responsibilities
As part of the Conversation Design team, you'll help shape what great AI conversation experiences look and sound like — across channels and languages, for enterprise customers around the world. You'll work directly with customers and internal teams to improve agent quality — especially in voice, one of our fastest growing channels — and build the systems and resources that allow us to scale your expertise.
This work spans research, design, enablement, and product strategy. You might:
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
Your insights will shape how Decagon deploys AI in mission-critical contexts and how we build toward the next generation of intelligent systems.
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 our Customer team to apply strong design judgment independently
Qualification
5+ years of relevant experience (eEven better if you have
Required
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
Even better if you have
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
