Director, GTM Engineering
Deepgram · USA
About this role
## Director, GTM Engineering ### Company Overview Deepgram is building the world’s most natural interface—**voice**—for the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with how people actually speak. Deepgram’s **Voice Agent Platform** brings together **speech-to-text, text-to-speech, and speech-to-speech**, with voice-native foundation models available via cloud APIs or self-hosted/on-prem deployments. Used in production by **5,000+ organizations** and **650,000+ developers** processing **200,000+ years of audio**. ### Operating Principles - **Compress before you communicate** — lead with the bottom line. - **Resist entropy** — question what already exists before adding process. - **Solve the category** — fix recurring problems at the source. - **Work at the frontier** — go after problems no one has solved yet. ### AI-First by Default We build AI that millions of people talk to—and we run the company the same way. You’ll be expected to: - **Build, not just use** (design workflows/agents; remove whole categories of work) - **Own the output** (verify and stand behind what agents produce) - **Spend the time you get back at the frontier** - **Keep pace** with changing models/tools --- ## Role Summary Deepgram is hiring a **Director, GTM Engineering** to own the **systems, data, automation, and technical infrastructure** that power the go-to-market organization. This role sits at the intersection of **GTM, Product, Engineering, and Finance**, supporting the full commercial lifecycle—from **pre-sales and pipeline** through **contracting, usage, renewal, and expansion**. This is a **builder-leader** role: set architecture and roadmap, stay close enough to diagnose issues, prototype solutions, write requirements, interrogate data, and ship. You’ll start with a small team and build leverage through better systems and automation before adding 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—turn business problems into **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** to reduce manual work and improve: - pipeline management, forecasting, deal execution, renewals, reporting, and decision-making - Design automation with a **simple, auditable, secure-first** approach (discrete steps; determine where automation vs. AI vs. human judgment belongs). - Build the **systems + data foundation** connecting the commercial lifecycle into a reliable operating view across: - pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion - Partner with the **Head of Data Intelligence** to build a shared, governed data foundation for GTM (data models, metadata, definitions, trusted sources). - Own technical infrastructure behind **forecasting and GTM execution**, including: - CRM workflows, data quality, reporting, routing, and systems operationalizing territory/quota/commission/capacity plans - Lead GTM partnership on **usage, metering, and billing**: - define requirements, evaluate build-vs-buy, and implement sy
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