工程经理，控制台团队（产品驱动增长策略）
Engineering Manager, Console Team (Product-Led Growth Strategy)
## **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 多家组织使用“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领投的最新 C 轮融资支持下，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 优先的思维模式——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和试验先进的 AI 工具，甚至将它们融入日常工作中。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的 AI 能力是这里成功的关键。候选人应能够快速接受新模型和新模式，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、临场反应和不断学习不感到兴奋，或者你寻求的是高度指导性且传统的朝九晚五工作，那么这可能不是适合你的角色。
### 机会
Deepgram 正在寻找一名工程经理来帮助推动我们的产品驱动增长策略。Deepgram 是语言 AI 开发者友好型构建模块的领导者——实时转录、语音代理和大规模音频智能。因此，这个职位直接影响客户对 Deepgram 产品的第一印象，并独特地影响他们的购买决策。在这个职位上，你将领导一支负责我们自助产品（如 Console 和 Product Playground）的前端和后端工程师团队。通过与产品、销售和市场部门紧密合作，你将执行...
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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.
### Opportunity
Deepgram is looking for an Engineering Manager to help drive our product-led growth strategy. Deepgram is the leader in developer-friendly building blocks for language AI—real-time transcription, voice agents, and audio intelligence at scale. As such, this role directly impacts the customer's first impressions of Deepgram's products and uniquely influences their buying decisions. In this role, you will lead a team of frontend and backend engineers who work on our self-serve products like Console, and Product Playground. By partnering closely with Product, Sales, and Marketing, you will execute on the next-generation vision for our self-service platform.
In the current wave of AI-native development, developer experience _is_ the product. The best infrastructure wins by being the easiest to trust.
### What You'll Do
- Lead a team of multi-disciplined software engineers to build our web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services
- Work closely with the rest of the leadership and product management team on product strategy and roadmap refinement, with a focus on AI-native developer experience
- Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule
- Lead the creation of features and product releases by being closely involved with the product development, design, and review—including AI agent playground environments and LLM-powered developer tooling
- Drive the self-serve growth engine: activation funnels, in-product upgrade flows, and PLG experimentation and self serve deployments.
- Work with other team leads from across the product organization on cross-functional projects, help identify the critical paths, and resolve dependencies
- Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development
### You'll Love This Role If You
- Have experience working in early stage startups—from building and scaling to going through fundraising
- Have great communication and leadership skills and the ability to work in a fast-paced environment
- Have strong practical experience with software architecture and implementation, plus the ability to engage with an engineering team to help build and scale the existing infrastructure
- Think about LLMs, agents, and model APIs as first-class product primitives—not just add-ons
- Have familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases
- Have interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.) and a willingness to challenge common assumptions about the future trajectories of technology
### It's Important To Us That You Have
- A strong technical background building world class user-facing applications
- Proven management and leadership experience
- The ability to drive technical decisions in a scalable and thoughtful manner
- Passion about good engineering practices, emerging technologies, and improving processes
- A consistent record of mentoring and coaching team members
- A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
### It Would Be Great if You Had
- Experience building AI-powered developer tooling—playgrounds, SDK experiences, interactive docs, or evaluation UIs for ML models
- Experience shipping agentic or voice AI integrations—MCP servers, function-calling pipelines, voice assistant SDKs
- Experience driving PLG at a developer-tools company—activation experiments, usage-based pricing instrumentation, upgrade flows
- Experience managing through a fundraising cycle
- An opinionated approach to partnering with product and making timely deliveries
_**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._