Technical GTM Enablement Manager

Company Overview Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box. The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models. Operating Principles: Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together: Compress before you communicate. You think it through first, then lead with the bottom line. Resist entropy. You question what already exists before adding more process or tools. Solve the category. You fix recurring problems at the source, not one case at a time. Work at the frontier. You go after problems no one has solved yet. We look for people who already work this way, and these principles shape how we grow and evaluate our team. AI-First by Default We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate. That means more than using the tools. We expect you to: Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster. Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you. Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet. Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place. We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment. Opportunity Deepgram is expanding our enablement function, and we're hiring our first Technical GTM Enablement Manager. This role is the force multiplier for the technical side of our revenue organization. You will own how our pre-sales and post-sales technical teams ramp, stay current, and prove they are ready, sitting at the intersection of Product, Applied Engineering, Customer Success, and Sales. Our technical field teams run demos, guide architecture decisions, troubleshoot live integrations, and take customers to production. You are not here to teach them their jobs. You are here to make what our best technologists already do repeatable for everyone else, and to get new hires there faster. This is not a training delivery role, and it is not externally facing content creation. Most of what should exist does not exist yet. You will build it. What You'll Do Own onboarding and ramp for technical GTM roles , designing and continuously improving a structured program that gets new hires to productivity faster and creating a consistent technical standard across teams. Build technical field framework and playbooks , including: Technical discovery with buyers, developers, and evaluators POC and evaluation standards, including clear technical and business success criteria Architecture guidance for our most commo