
AI Developer Experience Engineer
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in United States.
• Develop and sustain PlanetScale plugins across various AI marketplaces, directories, skill registries, MCP directories, IDE extension stores, and AI application builders.
• Take ownership of integrations with AI coding tools, agent frameworks, and platforms.
• Observe newly introduced AI tools and guarantee an outstanding customer experience from the outset.
• Conduct testing of the PlanetScale MCP server and CLI across Claude Code, Cursor, Codex, VS Code, and additional clients.
• Detect and address issues in database creation, connections, migrations, and query debugging within agents.
• Enhance agent context through tool descriptions, skills, llms.txt, agent-oriented documentation, and actionable error messages.
• Improve answer engine visibility to ensure agents can discover and recommend PlanetScale.
• Develop and maintain skills for Postgres, MySQL, Vitess, Neki, and PlanetScale.
• Create evaluations that execute real agent tasks against PlanetScale databases.
• Evaluate agent performance and promote ongoing enhancement.
• Monitor AI recommendations for PlanetScale and assess their accuracy.
• Instrument and report on agent usage metrics, including databases created, time to first connection, MCP versus CLI usage, and session failures.
• Create demos and sample applications.
• Produce documentation, guides, and blog posts regarding database usage with AI.
• Develop videos and participate in conferences to share effective AI development practices.
• Daily engagement with AI coding agents.
• Experience in building an MCP server, plugin, CLI, or SDK utilized by real developers.
• Background in software engineering with languages such as TypeScript and Go.
• Proficiency with APIs, OAuth, and command line interfaces.
• Experience in writing documentation, blogs, and/or creating video content.
• Capability to communicate with diverse audiences and customers on social media platforms.
• Familiarity with relational databases, including Postgres, MySQL, and SQLite.
• Experience in schema design, migrations, and connection management.
• Production experience with Postgres or MySQL.
• Data fluency, including designing evaluations and crafting dashboard queries.
• Ability to articulate technical concepts through writing, video, and presentations.
• Self-sufficiency, speed, and the ability to identify gaps and implement solutions.
• Curiosity about the AI tooling ecosystem and a commitment to staying updated.
• Bonus: contributions to the MCP specification, SDKs, or open-source MCP servers.
• Bonus: experience in writing agent skills, plugins, or rules files for Claude Code, Cursor, or Codex.
• Bonus: familiarity with LLM evaluation tools and agent benchmarks.
• Bonus: experience with AEO or GEO, or tracking how LLMs recommend and surface products.
• Bonus: a blog, YouTube channel, or GitHub profile followed by developers.
• Bonus: experience with Vitess, database sharding, or large-scale databases.
• Base salary plus variable compensation where applicable.
• Equity opportunities.
• Comprehensive benefits package.
• Inclusive work environment.
• Accommodations during the interview process for candidates with disabilities.
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