Head of AI Enablement Engineering

Stack

Responsibilities

• ▹Own AI enablement engineering strategy and hands-on building across the company
• ▹Evaluate, prototype, and select the AI tools, agents, models, and orchestration layers Deepgram adopts
• ▹Build reference implementations: reusable agents/skills, MCP servers, paved-road workflows, prompt libraries
• ▹Set and run the company-wide AI adoption strategy, metrics, and reporting cadence
• ▹Partner with Platform, Security, and Data teams to embed safe-use guardrails into platforms
• ▹Build and lead a distributed champions network, growing a small central team over time
• ▹Partner with People Ops on AI-native onboarding

Requirements

• ▹Strong engineering background with hands-on ability to build production-quality agents, tools, and automations
• ▹Deep, current fluency with modern AI tooling: coding agents, LLM application patterns, prompting, retrieval, MCP/agent tooling
• ▹Track record of driving technology adoption and changing how people work at scale
• ▹Ability to operate across business and technical functions and influence without direct authority
• ▹Strong product and platform instincts, treating enablement as a product
• ▹Excellent communication — able to demo, document, evangelize, and report to executives

Nice to have

• ▹Experience standing up an AI enablement, developer productivity, or engineering effectiveness function from scratch
• ▹Background building internal platforms or developer-facing tooling that engineers actually adopted
• ▹Experience leading a small team and/or a distributed champions/center-of-excellence model
• ▹Familiarity with enterprise AI search/knowledge tooling (e.g., Glean, Notion AI) and agent orchestration frameworks
• ▹Experience in a fast-moving, AI-native engineering organization

Soft skills

About the company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT) and text-to-speech (TTS), and powering production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings on Deepgram's technology, including Twilio, Cloudflare, and Sierra. Backed by a recent Series C, Deepgram has processed over 50,000 years of audio and transcribed more than a trillion words.