语音 AI 资深销售工程师(Staff Sales Engineer, Voice AI)
Staff Sales Engineer, Voice AI
Deepgram
岗位信息
以下导读根据招聘原文整理,帮助你了解实际工作、要求和待遇;完整条件请核对下方原文。
岗位概况
Deepgram 正在美国远程招聘 Staff Sales Engineer, Voice AI,面向具备 7 年以上客户侧技术经验、能亲手构建语音智能体 demo/POC 并承担配额的候选人;岗位核心是作为 Account Executive(AE)的技术搭档,主导 Voice Agent 交易从发现、架构、POC 到投产的技术赢单。 若你住在美国并已有语音智能体售前经验,背景与该主线匹配;但原招聘只标注 USA
- Remote,居住地、工作许可、时区、语言和出差要求仍需按原页核对。
工作职责
- 主导 Voice Agent 机会的发现、技术资格、架构和 POC,负责从首次通话到投产的技术赢单。
- 作为客户面前的技术专家,梳理 SIP 中继、PBX、CCaaS 等电话栈如何连接语音智能体,并说明 Deepgram 在其中的位置。
- 围绕延迟、轮次切换、打断处理、函数调用、每分钟成本和 build vs. buy 进行技术论证与方案取舍。
- 构建 demo、参考智能体和集成模式,覆盖 LLM、电话/SIP、CCaaS 平台与编排框架,供 AE 和客户直接使用。
- 承担与新 Voice Agent 客户数和 ARR 挂钩的配额,管理管道并做预测。
- 制作定位、竞争 battlecard、异议处理和赋能材料,使 AE 在你不参与通话时也能销售 Voice Agent。
- 把交易中反复出现的模式转化为对 API、SDK 和文档的、有证据支撑的需求,并反馈给产品团队。
- 与 CCaaS、电话和 LLM 伙伴合作,构建联合解决方案和共销打法。
任职要求
- 7 年以上客户侧技术岗位经验,例如解决方案工程、销售工程、解决方案架构或前部署工程(forward-deployed engineering)。
- 具备端到端的语音智能体实操经验:电话层(SIP、WebRTC、PBX 或 CCaaS 集成)、编排层(LLM agent 框架、tool calling、实时流式管道)和模型层(STT、TTS、LLM)。
- 能实际构建:交付过 demo、POC 或生产集成,使用 Python、Node.js 或类似技术,并能展示自己构建的作品。
- 有与收入挂钩的岗位记录:曾被技术赢单、管道或配额指标衡量,并持续达标。
- 能主导复杂、多利益相关方的企业交易,沟通对象从平台工程师到 CX 高管。
- 沟通清晰:能在同一场会议中向工程师讲清 SIP 呼叫流,也能向副总裁讲清每分钟成本的商业案例。
- 具备 AI-first 心态:主动使用并试验先进 AI 工具,甚至把自建工具融入日常工作;公司会衡量 AI 应用效果。
申请条件与限制
- 工作地点为 USA
- Remote;招聘方明确说明远程不代表全球可申请,居住地、工作许可、时区、语言和出差要求需按原招聘核对(原页未逐项列明)。
- 雇佣类型为全职(full-time)。
- 原招聘未说明签证担保或搬迁支持。
- 招聘方期望候选人适应快速变化和较少指令式管理的工作节奏,并明确表示寻求传统朝九晚五的人可能不适合这个岗位。
- 合法招聘沟通来自 @deepgram.com 邮箱;如收到冒充 Deepgram 的信息,按原招聘提示转发至 [email protected]。
加分项
- 有在 Pipecat、LiveKit、Vapi、Retell 或 OpenAI Realtime 等框架/平台上构建语音智能体的经验。
- 有联络中心领域经验(Genesys、NICE、Five9、Amazon Connect、Talkdesk 或类似平台)。
- 有承担个人配额或 overlay 配额的经验。
- 实际使用过 MCP server、agent harness 或 CLI 工具,或有被真实采用的开源贡献。
- 熟悉 Challenger 或类似销售方法论。
- 有同时覆盖自助式(self-serve)和企业级销售动作的经验。
- 有 API、CPaaS、CCaaS 或对话式 AI 公司的工作背景(原文以 ideally 表述,属于加分项)。
薪酬与福利
- 薪资:$185K–$230K USD/年;原招聘未提及股权、保险、假期或津贴等其他福利。
岗位重点解读
- 这是 Voice Agent 平台的售前/技术销售高级岗位:核心不是纯工程实现,而是作为每位 AE 的技术搭档,推动客户从发现、技术评估走到生产,并对新 Voice Agent 客户数和 ARR 负责。
- 工作重心在客户沟通与方案论证:把电话栈、实时编排和语音模型串成可落地方案,用延迟、可靠性、每分钟成本和 build vs. buy 解释技术取舍。
- 主要交付物是可复用的售前资产:demo、参考智能体、集成模式、竞争话术和 AE 赋能材料;同时把一线模式反馈给 API、SDK 与文档团队。
- 影响范围跨销售、产品和生态:既要在多利益相关方企业交易中同时对齐平台工程师与 CX 高管,也要与 CCaaS、电话和 LLM 伙伴做联合方案与共销。
申请准备建议(编辑解读)
- 编辑建议(非雇主要求):若你进入申请流程,准备一个端到端技术赢单案例,说明你在发现、技术资格、架构、POC 和投产各阶段做了什么、结果如何;这对应岗位从首次通话负责到生产的技术赢单职责。
- 编辑建议(非雇主要求):准备一张从电话栈到语音智能体的架构图,能讲清 SIP 中继、PBX、CCaaS 与 Deepgram 的连接位置,以及延迟、轮次切换、打断处理、函数调用和每分钟成本的取舍。
- 编辑建议(非雇主要求):带一个你亲手构建的 demo、POC 或生产集成(Python、Node.js 或类似),并准备解释关键设计选择;岗位明确要求能展示自己构建过的作品。
- 编辑建议(非雇主要求):整理你管理配额、管道和预测的证据,说明如何在收入指标下推进交易;岗位承担新 Voice Agent 客户数和 ARR 配额。
- 编辑建议(非雇主要求):准备同一方案的两套讲法,面向平台工程师讲 SIP 呼叫流,面向 CX 高管讲每分钟成本商业案例;岗位要求在同一场会议中切换这两种沟通。
- 编辑建议(非雇主要求):若你有 Pipecat、LiveKit、Vapi、Retell、OpenAI Realtime 或联络中心平台经验,整理成加分案例;这些在原招聘中属于 nice-to-have,不是硬性门槛。
- 编辑建议(非雇主要求):申请前核对原招聘的居住地、工作许可、时区、语言和出差要求,并确认你能在美国远程安排下工作;原页只标注 USA
- Remote,未逐项列明这些条件。
- 编辑建议(非雇主要求):仅通过 @deepgram.com 邮箱确认招聘沟通;如收到冒充 Deepgram 的信息,按原招聘提示转发至 [email protected]。
查看完整招聘原文
国际远程岗位,招聘地区:USA
- Remote。请核对原招聘中的居住地、工作许可、时区、语言与出差要求;远程岗位不等于全球可申请。以下保留招聘来源英文原文。
Employer-published remote role. Listed location(s): USA
- Remote. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.
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.
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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 email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].