Director, GTM Engineering
Deepgram · USA - Remote
About this role
## Director, GTM Engineering ### Company Overview Deepgram is the leading platform underpinning the Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. With voice-native foundation models available via cloud APIs or self-hosted/on-premises software, Deepgram delivers accuracy, low latency, and cost efficiency—trusted by 1,300+ organizations and 200,000+ developers. ### 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 the work 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 and Engineering’s primary GTM counterpart—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—breaking workflows into discrete steps and deciding where deterministic automation, AI, or human judgment is appropriate. - Build the **systems and data foundation** connecting the commercial lifecycle for 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, well-governed data foundation for GTM (data models, metadata, definitions, and trusted sources). - Own the technical infrastructure behind **forecasting and GTM execution**, including CRM workflows, data quality, reporting, routing, and systems used to operationalize territory, quota, commission, and capacity plans. - Lead GTM partnership on **usage, metering, and billing**—define requirements, evaluate build-vs-buy, and implement systems connecting product usage, pricing, contracts, billing, and revenue. - Lead the GTM Engineering function as a **player-coach**: develop 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** independently of AI-assisted tools. - A track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents, or internal tools. - Str
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