Agent Experience (AX) Specialist

These are non-negotiable. You cannot do this job without them.

1.  MCP & Agent Ecosystem Fluency

You understand what MCP (Model Context Protocol) is, how MCP servers work, and how agents discover and connect to them.

You can read and edit MCP tool descriptions, JSON schema configs, and registry metadata without engineering support.

You have hands-on experience with at least 2 major AI coding agents and use them in your own workflow.

You understand how agents decide which tools to call—tool descriptions, parameter schemas, and error responses are your optimization surface.

You can write and run queries against structured server logs to pull connection and usage metrics.

You are comfortable with npm: publishing packages, updating metadata, reading download stats.

You can use Git and GitHub: clone repos, edit files, open PRs, create example repos.

You can work with REST APIs, understand OAuth flows, and read/write JSON configurations fluently.

You can set up and maintain analytics custom reports, configure events, and build funnel analyses.

You understand attribution modeling, especially the challenge of attributing signups to agent interactions that don’t generate traditional web traffic.

You can build and maintain a tracking dashboard. Data discipline matters more than tooling.

You think in funnels: discovery → connection → usage → registration → adoption.

You naturally think in A/B tests: which copy, which metadata, which structure drives better outcomes?

You can design, run, and interpret experiments without a data science team.

You ship weekly. Strategy without execution is a document no one reads.

You understand how agents consume content: structured data, direct answers, code examples up front.

You can write technical documentation optimized for agent parsing—clear headings, explicit capability statements, comparison callouts.

You know the difference between content that ranks in Google (SEO) and content that gets cited by agents (GEO)—and can create both.