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Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the design and rollout of AI tools and workflows across an engineering organization, balancing hands-on agent building with influence across teams to raise adoption and productivity. It suits someone who is comfortable in emerging domains, builds to prove concepts rather than planning around them, and has credibility with skeptical engineering leaders.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Strong engineering background with hands-on ability to build production-quality agents and automations
- Deep, current fluency with modern AI tooling landscape including coding agents, LLM patterns, and orchestration
- Track record of driving technology adoption and changing workflows at scale in skeptical environments
- Ability to operate across business and technical functions and influence without direct authority
- Product and platform instincts, treating enablement as a product with users and adoption metrics
- Excellent communication and ability to demo, document, and report outcomes to executives
Nice to have
- Experience standing up an AI enablement or developer productivity function from scratch
- Background building internal platforms or developer-facing tooling with proven adoption
- Experience leading small teams or distributed champions/center-of-excellence models
- Familiarity with enterprise AI search and knowledge tools like Glean or Notion AI
- Point of view on measuring developer productivity and AI impact
- Experience in a fast-moving, AI-native engineering organization