Staff Product Designer, Conversational AI
## **公司简介**
Deepgram 是支撑新兴千亿美元语音 AI 经济的领先平台，提供实时 API 用于语音转文字（STT）、文字转语音（TTS），并可大规模构建生产级语音代理。超过 20 万名开发者和 1300 多家机构使用“由 Deepgram 提供支持”的语音产品，包括 Twilio、Cloudflare、Sierra、Decagon、Vapi、Daily、Cresta、Granola 和 Jack in the Box。Deepgram 的语音原生基础模型通过云 API 或自托管及本地软件访问，具有无与伦比的准确性、低延迟和成本效率。由领先的全球投资者和战略合作伙伴主导的最新 C 轮融资支持，Deepgram 已处理超过 5 万年的音频，并转录了超过 1 万亿个单词。世界上没有哪家公司比 Deepgram 更了解语音。
## **公司运营节奏**
在 Deepgram，我们期望具备 AI 首先的思维模式——AI 的使用和熟悉度不是可选项，而是我们运作、创新和衡量绩效的核心。
在 Deepgram 工作的每位团队成员都应积极使用和试验先进的 AI 工具，甚至将你自己的工具融入日常工作中。我们衡量 AI 应用的效果以实现成果，持续且富有创意地使用最新 AI 能力是这里成功的关键。候选人应能够快速采用新模型和新模式，将 AI 整合到工作流程中，并不断推动这些技术的边界。
此外，我们以 AI 的速度前进。变化迅速，你可以预期你的日常工作也会同样快速地演变。如果你不热衷于实验、适应、临场思考和不断学习，或者你寻求的是高度规范化的传统 9 到 5 工作，那么这可能不是适合你的职位。
**注意：这是一个基于太平洋时间的远程职位，优先考虑位于旧金山的候选人。**
### **职位介绍**
Deepgram 构建模型和 API，使语音代理能够大规模投入生产。决定这些代理是否显得人性化的关键并不在于屏幕，而在于代理是否知道你何时讲完，当你打断它时它会做什么，当它听错一个词时如何恢复，它在采取行动前如何确认重要信息，以及它如何处理无法消除的毫秒延迟。
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## **Company Overview**
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.
## **Company Operating Rhythm**
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
**Note: This is a remote role based in Pacific Time, with a preference for candidates located in San Francisco.**
### **About The Role**
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, and 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, and turn-taking and repair behavior designed and shipped with Engineering. From there, scope expands into conversational-quality evals and developer-facing guidance.
### **What You’ll Do**
- 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
### **You’ll Love This Role If You**
- 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
### **It’s Important To Us That You Have**
We care more about expertise and leadership than years of experience.
- 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
### **It Would Be Great If You Had**
- Time on a named assistant or a production voice agent platform
- Practice with Wizard of Oz testing and sample dialog methods
- Hands-on work with eval tooling for LLM or voice quality
- Experience in high-stakes or regulated conversation domains where confirmation and recovery carry real cost
- Multilingual or cross-locale conversation design experience
- Background in high-growth B2B companies with both self-serve and enterprise motions
_**Notice**: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @_ [_deepgram.com_](http://deepgram.com) _email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com._