高级数据智能工程师
Senior Data Intelligence Engineer
## **公司简介**
Deepgram 是支撑新兴万亿美元语音 AI 经济的领先平台，提供实时 API 服务，包括语音转文字（STT）、文字转语音（TTS），以及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进行访问，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的，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并尝试先进的 AI 工具，甚至将它们构建到日常工作中。我们衡量 AI 应用于实现结果的效果，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 整合到自己的工作流程中，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，你可以期待你的日常工作同样快速演变。如果你对实验、适应、临场思考和不断学习不感兴趣，或者你寻求的是高度指导性的传统 9 到 5 工作，那么这可能不是适合你的职位。
### **关于 Deepgram**
Deepgram 是语音领域的基础 AI 公司。我们构建的模型让机器能够零延迟地听到、理解并人类对话。随着我们按使用量增长的经济模式，我们正在构建“智能层”——一个自主代理系统，监控、推理并根据我们的数据采取行动，以推动 NRR 和运营卓越。
### **职位描述**
向 **决策智能负责人** 汇报，你是 **数据智能团队的创始工程师**。虽然数据负责人设定公司的战略“大脑”，而你则构建神经系统。你并不是在构建遗留系统
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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.
### **About Deepgram**
Deepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the "Intelligence Layer"—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.
### **The Role**
Reporting to the **Head of Decision Intelligence**, you are the **founding engineer** of the Data Intelligence team. While the Head of Data sets the strategic "Brain" of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.
### **Key Responsibilities**
- **Semantic Layer Architecture:** Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.
- **Agent Tooling & Integration:** Develop the tools and permissions frameworks that allow "Analyst Agents" to query Athena, correlate Salesforce churn signals, and identify API latency issues.
- **Infrastructure Evolution:** Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are "agent-ready" and highly reliable.
- **The "Unlock Audio Intelligence" Project:** Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.
- **Automation Obsession:** Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.
### **Requirements**
- **Experience:** 5+ years in high-growth Data or AI Engineering roles.
- **AI-Native Technical Skills:** Mastery of **SQL** and **Python** (production-grade) with a proven track record of building **RAG or Agentic systems** on top of structured data.
- **Usage-Based SaaS Fluency:** Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
- **Builder Mindset:** Comfort with "work-in-progress" infrastructure and the ability to turn messy, siloed data into high-impact business logic.
### **Bonus Points**
- Prior experience as a Software Engineer or Data Engineer.
- Experience with real-time billing and consumption systems.
- Contributions to open-source data or AI projects.
_**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._