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Decagon

Builds AI agents for enterprise customer support

Agent Experience Designer

Product & Experience DesignUpdated on Nov 10
Full-time

About the Job

Requirements

  • Have 3–5+ years of relevant experience, such as voice experience design, conversation design, product management, or applied linguistics.
  • Have experience building evaluation frameworks, rubrics, or quality assurance processes.
  • Communicate effectively across technical and business contexts.
  • Be comfortable working close to the product in a fast-moving environment.

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 standard 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 quality 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.

Desired Qualifications

  • Have native or professional fluency in Spanish and/or familiarity with other languages.
  • Have experience with text-to-speech providers or speech synthesis tools.
  • Have hands-on experience with frontier AI tools and deployment in enterprise or high-impact settings.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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