AI Enablement Lead

Atmosphere TV•Austin, TX

6h•Onsite

About The Position

We're looking for an AI Enablement Lead to turn Atmosphere's existing AI tooling into workflows that give our internal teams back time for creative problem-solving, client relationships, and strategy. Our product and engineering team already builds with AI every day; this role brings that foundation to the rest of the company. You'll sit side-by-side with internal teams, map how their work actually flows, find where it slows down, and build tools that fix it, whether that's a custom AI skill, an automated assistant, or an integration. You'll build, test, and refine alongside the people who use the tools. You'll start with our ad sales team, then bring what you learn to other departments. This role is equal parts team advocate, systems builder, and practical coach. You'll need the empathy to understand user pain points, the judgment to tell whether a problem needs better process design or a new tool, and the hands-on technical skills to build solutions people actually want to use. This position reports to the Chief Product & Technology Officer and is on-site in Austin, TX. In-office availability 4–5 days a week is required.

Requirements

A track record of shipping AI workflows that non-technical users adopted, and the ability to explain what didn't get used and why
Working understanding of agent loops, including how to design skills and tools and connect them to external APIs
Hands-on experience with current AI tooling (Claude skills, plugins, MCP, or similar)
Enough Python or TypeScript to build integrations yourself
Product instincts: you frame the problem, pick the metric, prioritize hard, and stay on one bottleneck as long as the leverage is there
Experience improving operational processes, or a demonstrated knack for untangling messy workflows
Strong people skills, including the ability to bring busy, skeptical users along rather than running past them
Clear writing across specs, prompts, and write-ups
A bias toward simplicity and toward tools that disappear into the work

Nice To Haves

Operational exposure to sales teams
Salesforce or Gong automation experience
Experience building evaluation or feedback tooling for LLM outputs
Background as a founder, early employee, forward-deployed engineer, or GTM engineer
Experience with programmatic document generation (python-pptx or similar)

Responsibilities

Embed with internal teams to map their workflows end to end, find the bottlenecks, and tackle the highest-impact problems first.
Tie every build to a measurable business outcome, such as lower cost-per-revenue or faster sales outreach, and work backward from that metric.
Design and build agentic workflows on our Claude plugins, connectors, and Salesforce stack, pairing live with users to solve problems in the moment rather than through a ticket queue.
Build tools that fit into the way people already work, and provide one-on-one coaching where a tool alone isn't enough.
Capture team inputs alongside final approved work and use that data to refine prompts, rules, and tool behavior over time.
Partner with engineering to decide what belongs in shared core architecture versus team-specific tooling, keeping our tech stack clean and unified.
Advise teams across departments on complex operational problems, including whether the right fix is better process, new software, or AI.
Document experiments, results, and reusable patterns so each new team rollout moves faster than the last.