高级项目经理，数据运营
Senior Program Manager, Data Operations
## **公司简介**
Deepgram 是支撑新兴数千亿美元语音 AI 经济的领先平台，提供实时 API 用于语音转文本（STT）、文本转语音（TTS），并可大规模构建生产级语音代理。超过 20 万名开发者和 1,300 多家机构正在构建由 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可通过云 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牵头的最新 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。
每一位在 Deepgram 工作的团队成员都应积极使用和试验先进的 AI 工具，甚至将它们构建到日常工作中。我们衡量 AI 应用的有效性以实现结果，持续且富有创意地使用最新的 AI 功能是这里成功的关键。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，你每天的工作也会同样快速地演变。如果你对实验、适应、临场思考和不断学习不感到兴奋，或者你寻求的是高度指导性的传统朝九晚五工作，那么这个职位可能不适合你。
### 关于该职位
在 Deepgram，数据不仅仅是模型的燃料，它本身就是一个产品。我们的垂直整合语音 AI 平台依赖于战略性创建、整理和标注的音频：从原始数据收集和增强，到结构化的工作流程和评估集。这些数据管道支持一系列前沿技术，包括音频智能模型、对话语音代理、STT 和 TTS。
我们正在寻找一位动手能力强、系统思维的项目经理，负责设计和执行各种语音数据项目。这个职位适合那些喜欢构建和管理复杂系统的候选人。
查看英文原文
## **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 the Role
At Deepgram, data isn’t just fuel for our models, it’s a product in its own right. Our vertically integrated voice AI platform depends on strategically created, curated, and labeled audio: from original data collection and augmentation, to structured workflows and evaluation sets. These data pipelines support a range of cutting-edge technologies, including audio intelligence models, conversational voice agents, STT, and TTS.
We’re looking for a hands-on, systems-minded Program Manager to lead the design and execution of various voice data programs. This role is ideal for someone who thrives on building from scratch, someone who can take an abstract modeling goal or product need and turn it into a concrete data strategy and pipeline with tools, guidelines, and quality safeguards in place. This requires ownership to understand frontier research strategies, building custom style guides, prototyping new tools, and directly influencing how data shapes our products.
This is a role for builders, someone who can spot a gap, roll up their sleeves, and design the solution. You’ll be at the center of Deepgram’s model development cycle, working across Research, Engineering, and Product, and you’ll be elbow-deep in both the day-to-day execution and the systems thinking required to scale it.
This role reports to the VP of Data Operations.
### What You’ll Own:
- Design, launch, and own end-to-end data workflows: from raw audio ingestion to production-ready datasets
- Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams
- Identify opportunities for better tooling, automation, and workflow optimization, and lead their implementation
- Translate product goals and model requirements into data creation strategies, deciding what to build, how to build it, and why it matters for product impact
- Own the full lifecycle for your domains — customer expectations, data acquisition, preparation, scaling, provenance, and evaluation — and be accountable for the model outcome, not just the data hand-off.
- Prototype and deploy data tools and infrastructure
- Collaborate with Research and Engineering to align data collection with model training architecture and downstream product impact
- Track advancements in speech AI research and evolving market use cases to inform labeling approaches and data design priorities
- Partner with QA and Evaluation leads to deliver high-quality, human-in-the-loop datasets and benchmarks
- Manage and mentor data vendors, freelancers, and potentially internal ICs as the team grows
- Track throughput, data quality, and vendor performance
- Drive continuous improvement in speed, cost-efficiency, and quality across all data operations
- Curate and refine datasets to align with specific product goals, linguistic coverage, or research hypotheses
### What We're Looking For
- Experience owning data, ML, or operations programs end-to-end in program/project or product management.
- Fluency working directly with technical teams; you can hold a conversation about data quality, evaluation, and model impact.
- Systems thinking, understanding how decisions propagate across a system, reason up from fundamentals instead of defaulting to convention, and design solutions that hold up as things scale.
- A track record of prioritization under constraint — deciding what to fund, what to cut, and how to sequence it.
- Strong operating instincts: you scope, sequence, assign, and ship, and nothing stalls because someone didn't know the next step.
- Demonstrated ability to design and build scalable processes, not just manage existing ones
### **It would be great if you also had:**
- Direct exposure to speech/audio, ASR, or TTS data, and the specific nuances of multilingual, code-switched, low-resource, or domain-specific data.
- Experience with active-learning or data-selection approaches
- Startup or high-ambiguity experience
### **You’ll Love This Role If You**
- Believe that data is a product, not just a resource, and you want to help define what great voice data looks like
- Enjoy turning experimental ideas into robust, repeatable systems that can scale to production
- Thrive in ambiguity and take initiative without waiting for perfect specs, preferring action over perfection and iteration over indecision
_**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._