Technical GTM Enablement Manager (Voice AI)

Location: USA - Remote

Company

Deepgram provides real-time voice AI APIs for speech-to-text, text-to-speech, and production-grade voice agents through cloud, self-hosted, and on-premises platforms.

What you will do

• Own onboarding and ramp programs for technical go-to-market roles.
• Build technical field frameworks and playbooks covering discovery, evaluations, architecture guidance, handoffs, and escalations.
• Build and maintain technical certification programs as the platform evolves.
• Lead technical readiness for product launches in partnership with Product and Product Marketing.
• Turn expertise from Product, Product Marketing, and field technologists into scalable enablement.
• Build AI-powered tools, agents, and workflows for a growing technical organization.

Requirements

• 5+ years in technical, customer-facing roles such as solutions engineering, solutions architecture, customer success engineering, technical account management, implementation, or forward-deployed work.
• Hands-on experience with APIs, SDKs, integrations, developer workflows, live demos, troubleshooting, and architecture discussions.
• Experience building onboarding, certification, or technical development programs for technical teams.
• Working fluency with scripting or agent-building tools such as Python, TypeScript, workflow tools, or agent frameworks.
• Strong writing and narrative skills for translating complex technical concepts into practical field guidance.
• Experience operating with AI-dependent workflows and applying AI tools to improve productivity.

Nice to have

• Experience with speech recognition, text-to-speech, voice agents, LLM orchestration, or developer-first API products.
• Experience enabling both pre-sales and post-sales technical roles.

Culture & Benefits

• AI-first operating model with active experimentation and continuous adoption of advanced AI tools.
• Fast-moving environment with evolving responsibilities and limited hierarchy or process.
• Emphasis on clarity, accountability, practical execution, and shipping useful systems quickly.
• Technical teams support customers from demos and architecture decisions through production deployment.