AI Enablement Lead
Advanced Tech Placement · Atlanta, GA · 4 wk ago
RemoteRemoteOTHRFull-time
Responsibilities
- Build and ship AI workflows by partnering directly with people across operations, marketing, sales, finance, support, and engineering to identify painful or repetitive work and rebuild it around AI.
- Be the in-house expert by running office hours, pair sessions, lunch-and-learns, and Slack-based support.
- Build prompts, projects, skills, and agents, maintaining a living library of reusable prompts, Claude Projects, Cursor rules, custom skills, and small automations.
- Track the landscape by staying on top of new model releases, tool updates, and techniques.
- Measure what works by tracking adoption, time saved, and quality improvements in concrete terms.
- Raise the floor and the ceiling by creating lightweight training and documentation that brings everyone up to a baseline of AI fluency.
- Keep it safe and sensible by partnering with security, legal, and IT on practical guardrails.
Requirements
- 3-6 years of professional experience in a hands-on role (engineering, ops, analytics, product, technical PM, consulting, or similar).
Required Skills
- Real, daily experience with Claude — Projects, Artifacts, MCP, Claude Code, or the API.
- Real, daily experience with Cursor — rules, composer, agent mode, MCP integrations.
- Comfort with at least light scripting (Python, JavaScript, or similar) and reading code well enough to modify it.
- Strong prompt engineering instincts and an understanding of how to get reliable output from frontier models.
- Experience building workflows that combine LLMs with APIs, documents, spreadsheets, or internal tools.
- A teacher’s temperament — patient, clear, and good at meeting people where they are.
- Bias to action — you’d rather ship a rough v1 today than a polished v1 next month.
Preferred Skills
- Experience with other frontier tools (ChatGPT/Codex, Gemini, Copilot, v0, Replit Agent, Windsurf, etc.).
- Experience with agent frameworks, MCP servers, RAG, or evals.
- Hands-on experience orchestrating multiple agents or sub-agents for non-trivial workflows.
- Familiarity with our tech stack — Java, Spring Boot, Angular, and .NET — is a strong bonus.
- Background in ops, revenue operations, or internal tooling.
- A public footprint — blog, GitHub, newsletter, demos — showing how you think about AI.