Deepgram

Head of AI Enablement Engineering

USA | Remote

Sponsorship not specifiedDetected 13 days ago

RESTLLMsAI OrchestrationCadenceLeadershipCommunication

About the role

Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
There is no organization in the world that understands voice better than Deepgram.
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.

Own and drive AI enablement engineering across Deepgram - the strategy, the standards, and the hands-on building that make AI leverage real in every function.
avoid tool sprawl and make pragmatic build-vs-buy decisions.
Build the reference implementations: reusable agents and skills, MCP servers, paved-road workflows, prompt and pattern libraries, and the enablement hub where the best internally-built tools are surfaced and elevated.
Partner with Platform/Internal Tools, Security, and Data to define guardrails that are embedded into platforms rather than enforced through gates - safe-use patterns, access, and data handling that make adoption easier, not harder.
Build and lead a distributed champions network embedded in teams, and grow a small central team over time as impact scales.
Want to define how an entire company works with AI - and you'd rather build the proof than write the memo.
Are hands-on and current: you build agents and workflows yourself and can sit across from senior engineers as a peer on day one.
Personally evaluate, prototype with, and make the calls on the AI tools, agents, models, and orchestration layers Deepgram adopts; avoid tool sprawl and make pragmatic build-vs-buy decisions.

A track record of driving technology adoption and changing how people work at scale, in environments that didn't start out asking for it.
The ability to operate across business and technical functions and influence without direct authority, including credibility with senior engineering leaders.
Comfort defining safe-use guardrails and data-handling practices in partnership with Security and Platform.
Experience standing up an AI enablement, developer productivity, or engineering effectiveness function from scratch.
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.
Experience in a fast-moving, AI-native engineering organization.

making Deepgram one of the most AI-native companies in the world, in practice and not just in principle.
It's a high-visibility seat with executive sponsorship and a mandate to set direction where there is no established playbook.
Stay ahead of a fast-moving landscape and translate emerging AI capabilities into pragmatic, Deepgram-ready practice.

Partner with People Ops on AI-native onboarding and fluency, so new and existing teammates do real reps inside the tools and leave the system better than they found it.

It's a high-visibility seat with executive sponsorship and a mandate to set direction where there is no established playbook.

This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.