
51 - 200 employees
Founded 2015
đź Consulting
đĽ Healthcare
đŚ Logistics
đ° $47M Series B on 2022-11
Consulting ⢠Healthcare ⢠Logistics
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
đĽ 1 minute ago
đ California â Remote
đľ $180k - $240k / year
â° Full Time
đ´ Lead
âď¸ Designer
đŚ H1B Visa Sponsor
đť Ghost score 18%
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51 - 200 employees
Founded 2015
đź Consulting
đĽ Healthcare
đŚ Logistics
đ° $47M Series B on 2022-11
Consulting ⢠Healthcare ⢠Logistics
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
⢠Define Deepgram voice-agent persona and voice systems across experiences and use cases ⢠Design turn-taking, barge-in, and end-of-turn behavior with ML and Engineering ⢠Tune responsiveness against interruption risk for each use case ⢠Design conversational repair, no-match and no-input handling, and confirmation strategies ⢠Establish guardrails requiring confirmation before high-stakes actions ⢠Own latency-aware pacing and perceived responsiveness, including brevity, backchanneling, hold speech, and filler speech ⢠Establish conversational-quality evaluations and transcript-review practices ⢠Turn production failures into a repeatable design loop ⢠Build reference agent experiences and developer-facing design guidance for the Voice Agent API ⢠Partner with ML and Research on ASR and TTS behavior and conversation-quality criteria ⢠Set conversation-design principles, review standards, and shared vocabulary ⢠Report directly to the Director of Product Design as a Staff individual contributor
⢠Deep experience designing conversational behavior for LLM-based voice agents or assistants ⢠Fluency with the speech pipeline from ASR through LLM to TTS ⢠Working understanding of where design decisions live in the speech pipeline ⢠Track record designing turn-taking, interruption, repair, and confirmation patterns that shipped in production ⢠Experience building quality measurement practices, including evals, transcript review, benchmarks, or structured failure-analysis loops ⢠Exceptional writing craft, including sample dialogs, design guidance, and documentation ⢠Experience influencing engineering and ML partners without direct authority ⢠Experience designing for developers or technical users, including APIs, SDKs, and documentation ⢠Working AI practice and perspective on appropriate AI-tool usage ⢠Pacific Time availability; preference for candidates located in San Francisco ⢠Must answer U.S. location and U.S. work-authorization/visa-sponsorship questions
⢠Equity ⢠Bonus ⢠Remote work ⢠AI-first work environment ⢠Global investors and strategic partners (company compensation context)
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