Staff Sales Engineer, Voice AI
## **公司概述** Deepgram 是支持新兴数万亿美元的语音人工智能经济的领先平台,为语音到文字 (STT),文本到语言 (TTS) 提供实时 API,并建立规模级生产级语音代理。超过200,000名开发人员和1,300多个组织构建由 Deepgram 发动的语音产品,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 或作为自主托管和本地软件访问,具有无与伦比的准确性,低延迟率和效率。支持由全球领先投资者和战略合作伙伴领导的 C 系列,Deepgram 处理了超过50,000年的音频并转录了超过1万亿字。世界上没有组织比 Deepgram 更好地理解声音.## **公司运营节奏** 在 Deepgram,我们预计人工智能优先思维方式 AI 使用和舒适性不是可选,它们是我们如何操作,创新和测量性能的核心。在 Deepgram 工作的每个团队成员都应该积极使用和实验高级人工智能工具,甚至构建自己的日常工作中。我们测量人工智能如何有效地应用到结果,持续的创造性使用最新的人工智能能力是成功的关键。申请人应该能够快速采用新模式和模式,将人工智能集成到他们的工作流程中,并不断推进这些技术的界限。另外,我们随着人工智能的发展而进步。变化是快速的,你可以预计你的日常工作也会迅速地演变成。如果你不愿意实验,适应,立足思考和不断学习,或者如果你正在寻找具有强制性的东西,则这可能不是正确的角色。传统的9-5###**机会。企业正在迅速从转录对话到自动化。联系中心,医疗保健,金融服务和消费品牌都在将语音代理放在客户面前。买家范围从 CX 领导者到平台工程师,交易的延迟,可靠性,每分钟成本以及代理是否保持生产.Deepgram 正在聘请一名员工销售工程师,语音代理来推动全球采用我们的语音代理平台。你将与团队中的每个账户执行官一起担任语音代理交易技术领先者,并且你将承担一个 quo
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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.
### **The Opportunity**
Enterprises are moving fast from transcribing conversations to automating them. Contact centers, healthcare, financial services and consumer brands are putting voice agents in front of their customers. The buyers range from CX leaders to platform engineers, and the deals turn on latency, reliability, cost per minute and whether the agent holds up in production.
Deepgram is hiring a Staff Sales Engineer, Voice Agent to drive adoption of our Voice Agent platform globally. You’ll work alongside every Account Executive on the team as the technical lead on voice agent deals, and you’ll carry a quota for new Voice Agent logos and ARR. Most of your time is spent in front of customers: positioning Deepgram in discovery, winning the technical evaluation and getting customers to production. You report to the VP of Sales.
### **What You'll Do**
- **Win voice agent deals.** Lead discovery, technical qualification, architecture and proofs of concept for Voice Agent opportunities, and own the technical win from first call through production.
- **Be the expert in the room.** Whiteboard how a customer's telephony stack (SIP trunks, PBX, CCaaS) connects to their voice agents and where Deepgram fits. Go deep on latency, turn-taking, interruption handling, function calling, cost per minute and build vs. buy.
- **Build what sells.** Ship demos, reference agents and integration patterns across LLMs, telephony/SIP, CCaaS platforms and orchestration frameworks that AEs and customers can use on day one.
- **Carry the number.** Own a quota tied to Voice Agent growth and run your pipeline and forecast with discipline.
- **Make the team better.** Create the positioning, competitive battlecards, objection handling and enablement that let every AE sell Voice Agent with confidence, even when you are not on the call.
- **Bring the field into Product.** Turn patterns from deals into clear, evidence-backed requirements for our API, SDKs and docs.
- **Work the ecosystem.** Partner with CCaaS, telephony and LLM partners to build joint solutions and co-sell plays.
### **What You Bring**
- 7+ years in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture or forward-deployed engineering, ideally at an API, CPaaS, CCaaS or conversational AI company.
- Hands-on voice agent experience across the stack: telephony (SIP, WebRTC, PBX or CCaaS integration), orchestration (LLM agent frameworks, tool calling, real-time streaming pipelines) and models (STT, TTS, LLMs).
- You build. You've shipped demos, POCs or production integrations in Python, Node.js or similar, and you can show us something you've built.
- A track record in revenue-tied roles. You've been measured on technical wins, pipeline or quota, and you consistently hit your targets.
- Comfort leading complex, multi-stakeholder enterprise deals with everyone from platform engineers to CX executives.
- Clear communication. You can walk an engineer through a SIP call flow and a VP through a cost-per-minute business case in the same meeting.
### **Nice to Have**
- Voice agents built on frameworks or platforms like Pipecat, LiveKit, Vapi, Retell or OpenAI Realtime
- Contact center domain experience (Genesys, NICE, Five9, Amazon Connect, Talkdesk or similar)
- Experience carrying an individual or overlay quota
- Hands-on work with MCP servers, agent harnesses or CLI tools, or open-source contributions with real adoption
- Familiarity with Challenger or a similar sales methodology
- Experience selling across 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._