Head of AI Enablement Engineering

Deepgram • Remote, CA

1d

About The Position

Deepgram is seeking a Head of AI Enablement Engineering to lead the company's AI-native strategy. This is a build-first leadership role focused on making Deepgram one of the most AI-native companies in the world. The role involves evaluating tools, building agents and workflows, setting standards, and partnering with various teams to drive AI adoption and measurable outcomes. The Head of AI Enablement Engineering will influence through building and have the opportunity to grow a small team and a network of champions. This is a high-visibility position with executive sponsorship and a mandate to set direction in an evolving field.

Requirements

• Strong engineering background with hands-on ability to build production-quality agents, tools, and automations.
• Deep, current fluency with modern AI tooling landscape (coding agents, LLM application patterns, prompting, retrieval, MCP/agent tooling, orchestration).
• 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 skills (demoing, documenting, evangelizing, reporting to executives).
• Comfort defining safe-use guardrails and data-handling practices in partnership with Security and Platform.

Nice To Haves

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

Responsibilities

• Own and drive AI enablement engineering across Deepgram, including strategy, standards, and hands-on building.
• Evaluate, prototype, and select AI tools, agents, models, and orchestration layers, making pragmatic build-vs-buy decisions.
• Build reference implementations such as reusable agents and skills, MCP servers, paved-road workflows, and prompt/pattern libraries.
• Set and run the company-wide AI adoption strategy, focusing on measurable productivity and quality.
• Partner with Platform/Internal Tools, Security, and Data to define embedded guardrails for safe AI use.
• Build and lead a distributed champions network and a small central team.
• Partner with People Ops on AI-native onboarding and fluency.
• Translate emerging AI capabilities into pragmatic, Deepgram-ready practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed