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Director, GTM Engineering

Deepgram· Customer Success
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RemoteFull-timePosted 4d ago

About the role

Deepgram is hiring a Director, GTM Engineering to own the systems, data, automation, and technical infrastructure that power the go-to-market organization, spanning pre-sales through renewal and expansion. The role combines GTM, Product, Engineering, and Finance to build AI-native workflows, data foundations, and scalable solutions. It is a builder-leader position with a small team, focused on architecture, roadmap, and hands-on delivery.

Responsibilities

  • 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, translating business problems into requirements, roadmaps, and scalable solutions.
  • Establish engineering standards for GTM systems and automation (security, governance, testing, observability, access controls, documentation, 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 auditable, secure-first approach; break workflows into discrete steps and determine where deterministic automation, AI, or human judgment is appropriate.
  • Build systems and data foundation that connects the commercial lifecycle (pipeline, bookings, contracts, product usage, customer activity, renewals, expansion).
  • Partner with Head of Data Intelligence to build a governed data foundation for GTM, including data models, metadata, definitions, and trusted sources for human and AI decision-making.
  • Own the technical infrastructure behind forecasting and GTM execution (CRM workflows, data quality, reporting, routing, and territory/quota/commission/capacity systems).
  • Lead GTM partnership on usage, metering, and billing; evaluate build-vs-buy decisions and implement systems linking product usage, pricing, contracts, billing, and revenue.
  • Lead the GTM Engineering function as a player-coach, developing a small team and leveraging automation before expanding headcount.

Qualifications

  • Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or similar technical GTM function.
  • Professional software engineering experience with production-quality code independent of AI-assisted tools.
  • Track record of 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.
  • Hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data.
  • Experience building AI-powered workflows that replace or reduce manual work.
  • Strong product instincts and ability to translate ambiguous business problems into buildable solutions.
  • Technical credibility with Product and Engineering and strong communication with GTM leaders.
  • Experience partnering with Data/Analytics teams on data modeling, governance, metadata, and shared infrastructure.
  • Understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data.
  • Comfortable operating as a hands-on player-coach with a small team.

Skills

Required:GTM Engineering leadershipProduction software engineeringCRM/CPQ/IntegrationsAI-powered workflowsSecurity & compliance
Nice to have:Data governance & modeling
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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