[Hiring] Staff Conversational Designer @Deepgram

Role Description

Deepgram builds the models and APIs that put voice agents into production at scale. What decides whether those agents feel human is not a screen. It is whether the agent knows when you have finished speaking, what it does when you cut it off, how it recovers from a misheard word, how it confirms something consequential before acting, and how it covers the milliseconds it cannot remove.

Today those decisions live inside prompts and pipeline config, made ad hoc by whoever is closest to the problem. No one owns them end to end. We are hiring a Staff Conversational Designer to own them.

You will define how Deepgram's voice agents converse:

• persona
• turn-taking
• repair
• confirmation
• pacing

You will work directly with ML and Engineering on the tradeoffs that make those behaviors real, including endpointing, barge-in, and latency budgets. You will build the evals that tell us whether a conversation is actually good, and publish the guidance and reference experiences that show developers how to build natural conversations on the Voice Agent API.

This is a leading edge role. Very few companies have a titled equivalent. You will be defining this discipline at Deepgram, not inheriting it.

You'll report directly to the Director of Product Design. This is a Staff IC role, and your impact shows up mostly in the leverage you create for others: the patterns our own experiences run on, and the guidance our customers build against.

Your first chapter:

• a documented persona and voice system
• turn-taking and repair behavior designed and shipped with Engineering

From there, scope expands into conversational-quality evals and developer-facing guidance.

Qualifications

• Deep experience designing conversational behavior for LLM-based voice agents or assistants, not only scripted IVR flows
• Real fluency with the speech pipeline, from ASR through LLM to TTS, and a working understanding of where design decisions actually live inside it
• A 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 that others can build against
• Experience influencing engineering and ML partners on behavior they own, without authority over them
• Experience designing for developers or technical users, including APIs, SDKs, and documentation surfaces
• A working AI practice, with a point of view on where these tools help and where they mislead

Requirements

• Believe conversation is an interface with real craft behind it, not a prompt someone tunes on the side
• Want the hard real-time problems: endpointing, barge-in, and the half-second you cannot design away
• Get energized by being foundational, defining what good means for a discipline that does not exist here yet
• Think the fastest way to raise quality is to make it measurable, then make it repeatable
• Are excited by a category still inventing its interaction patterns, where the work is invention rather than iteration

Company Description

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box.

Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.