Director, GTM Engineering
## **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以提供结果，并且持续使用最新的人工智能功能是成功的关键。候选人应该很舒服快速采用新模型和模式，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所能做的界限。此外，我们随着人工智能的步伐而发展。变化速度快，你可以期望你的日常工作同样迅速发展。如果你不热衷于实验，适应，立足思考，不断学习或你正在寻找一个具有高度规范性的传统9-5课程时，这可能不是正确的角色。迪普格兰正在聘请一个**董事，GTM 工程**拥有我们进入市场的组织供电系统，数据，自动化和技术基础设施。这个角色位于 GTM,产品，工程和金融交叉口，支持从预售和管道到合约，使用，更新和扩张的整个商业生命周期。你将拥有我们的 GTM 技术生态系统作为内部产品，将业务问题转换为可扩展系统，工作流程，数据和人工智能驱动的解决方案。这是建设者领导作用。我们需要有人能够设置架构和路线图，而留下来。
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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.
Deepgram is hiring a **Director, GTM Engineering** to own the systems, data, automation, and technical infrastructure that power our go-to-market organization.
This role sits at the intersection of GTM, Product, Engineering, and Finance and supports the full commercial lifecycle — from pre-sales and pipeline through contracting, usage, renewal, and expansion. You’ll own our GTM technology ecosystem as an internal product, translating business problems into scalable systems, workflows, data, and AI-powered solutions.
This is a builder-leader role. We need someone who can set the architecture and roadmap while staying close enough to the work to diagnose problems, prototype solutions, write requirements, interrogate data, and ship. You’ll start with a small team and build leverage through better systems and automation before defaulting to additional headcount.
### **What You’ll Do**
- Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling.
- Serve as the technical product leader for GTM systems and Engineering’s primary GTM counterpart, turning business problems into clear requirements, roadmap priorities, and scalable solutions.
- Establish engineering standards for GTM systems and automation, including security, governance, testing, observability, access controls, documentation, and safe production deployment.
- Build AI-native workflows and internal tools that reduce manual work and improve pipeline management, forecasting, deal execution, renewals, reporting, and decision-making.
- Design automation with a simple, auditable, and secure-first approach, breaking workflows into discrete steps and deliberately determining where deterministic automation, AI, or human judgment is appropriate.
- Build the systems and data foundation that connects the commercial lifecycle, creating a reliable operating view across pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion.
- Partner closely with Head of Data Intelligence to build a shared, well-governed data foundation for GTM, including consistent data models, metadata, definitions, and trusted sources that support both human and AI-driven decision-making.
- Own the technical infrastructure behind forecasting and GTM execution, including CRM workflows, data quality, reporting, routing, and the systems used to operationalize approved territory, quota, commission, and capacity plans.
- Lead GTM partnership on usage, metering, and billing, helping define requirements, evaluate build-vs-buy decisions, and implement systems connecting product usage, pricing, contracts, billing, and revenue.
- Lead the GTM Engineering function as a player-coach, developing a small team while staying close to the work and using automation before defaulting to additional headcount.
### **What We’re Looking For**
- Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical GTM function.
- Professional software engineering experience with demonstrated ability to write, review, debug, and maintain production-quality code independent of AI-assisted development tools.
- A track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents or internal tools.
- Strong understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices.
- Deep hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data.
- Experience building AI-powered workflows that replace or materially reduce manual work.
- Strong product instincts and the ability to turn ambiguous business problems into buildable solutions.
- Technical credibility with Product and Engineering and strong communication with GTM leaders.
- Experience partnering with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure.
- Strong understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.
- Comfortable operating as a hands-on player-coach with a small team.
### **Would Be Great if You Had**
- Experience in a usage-based or consumption-based business, especially metering and billing infrastructure.
- Experience with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines.
- Experience with AI-assisted development tools such as Claude Code, Cursor, to accelerate professional software engineering workflows, alongside automation platforms such as n8n, Workato, or Retool.
- Experience scaling GTM systems through rapid growth or multi-product expansion.
_**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._