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Staff Conversational Designer

Deepgram· Product
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Remote$180k - $240k + equity + bonusFull-timePosted 4w ago

About the role

Staff Conversational Designer at Deepgram to own the design of how Deepgram's voice agents converse, including persona, turn-taking, repair, confirmation, and pacing. Lead development of evaluation methods, developer-facing guidance, and collaboration with ML/Engineering on latency and ASR/TTS effects. Remote role based in Pacific Time, with preference for San Francisco.

Responsibilities

  • Define the persona and voice system for Deepgram voice agents, and keep it coherent across experiences and use cases
  • Design turn-taking, barge-in, and end-of-turn behavior with ML and Engineering, tuning responsiveness against the risk of interrupting the user, per use case
  • Design conversational repair, no-match and no-input handling, and confirmation strategy, including guardrails that require confirmation before high-stakes actions
  • Own latency-aware pacing and perceived responsiveness: brevity, backchanneling, hold and filler speech, all against real-time budgets
  • Establish conversational-quality evals and a transcript review practice that turns production failures into a repeatable design loop
  • Build the reference agent experiences and developer-facing design guidance that demonstrate best-practice conversation on the Voice Agent API
  • Partner with ML and Research on ASR and TTS behavior, and on the quality criteria that define a good conversation
  • Set the conversation-design principles, review standards, and shared vocabulary the broader team adopts

Qualifications

  • Deep experience designing conversational behavior for LLM-based voice agents or assistants, not only scripted IVR flows
  • Fluency with the speech pipeline, from ASR through LLM to TTS, and understanding of where design decisions live
  • Track record designing turn-taking, interruption, repair, and confirmation patterns that shipped and held up in production
  • Evidence of building quality measurement into the practice: evals, transcript review, benchmarks, or a structured failure-analysis loop
  • Exceptional writing craft, including sample dialogs, design guidance, and documentation for others to build against
  • Experience influencing engineering and ML partners on behavior they own, without authority
  • Experience designing for developers or technical users, including APIs, SDKs, and documentation surfaces
  • Working AI practice with a point of view on where these tools help and where they mislead

Skills

Required:Conversational design for voice agentsASR/TTS integration understandingEvaluation design
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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