AI Developer Engineer

More and more Planet Scale databases are created, connected and queried by AI agents. Cursor, Claude Code, Codex and a growing list of other tools now sit between developers and their infrastructure.

You will own that experience end to end. You'll make sure Planet Scale shows up everywhere developers build with AI, that our MCP server and CLI work flawlessly in every agent, and that we can measure how well it all works. Then you'll show the world how to do it well through demos, docs, blog posts, videos, and conferences.

This is a hands-on role combining engineering, content creation, and a strong public voice. You'll work closely with the teams that build our MCP server, CLI, API and docs.

The landscape of how developers work with AI changes fast. You'll have the opportunity to move quickly, experiment, and take the lead on the future of AI use with databases and infrastructure.

• Build and maintain the plugins for Planet Scale in every AI marketplace and directory: agent plugins, skill registries, MCP directories, IDE extension stores and AI app builders
• Own our integrations with AI coding tools, agent frameworks and platforms
• Stay current with AI tools as they launch and ensure our customers have a great experience from day one
• Test the Planet Scale MCP server and CLI across Claude Code, Cursor, Codex, VS Code and other clients, and catch regressions before users do
• Find friction in creating a database, connecting, running migrations and debugging queries from inside an agent, then fix it or drive the fix with the owning team
• Improve the context agents rely on: tool descriptions, skills, llms.txt, docs written for agents, and error messages agents can act on
• Attention to AEO (answer engine optimization): make sure agents find and recommend Planet Scale
• Build and maintain skills for working with Postgres, MySQL, Vitess, Neki, and Planet Scale

• Build evals that run real agent tasks against Planet Scale databases
• Benchmark how agents perform with Planet Scale and work towards continuous improvement
• Track how often AI assistants and agents recommend Planet Scale for database questions, and whether what they say about us is accurate
• Instrument and report on agent usage: databases created by agents, time to first connection, MCP versus CLI usage, and where sessions fail

• Build demos and sample apps that show Planet Scale and AI tooling at their best
• Write docs, guides and blog posts on using databases effectively with AI, including safe access, branching and performance assessment
• Make videos and attend conferences to communicate with our audience how to build effectively with AI

• Daily use of AI coding agents, with strong opinions about what makes a tool work well with them
• Experience building an MCP server, plugin, CLI or SDK that real developers use
• Software engineering background in languages like Type Script and Go, and comfort with APIs, OAuth and the command line
• Experience with writing docs, blogs, and / or video content creation
• Good at communicating with a broad audience and customers alike on socials
• Experience working with relational databases (Postgres, MySQL, SQLite), schema design, migrations, connection handling, and Postgres or MySQL in production
• Data fluency: designing evals, writing the queries behind a dashboard, and telling a real trend from noise
• Clear communication of technical ideas in writing, on video and on stage
• Independence and speed: spotting a gap, shipping a fix, and telling people about it
• Genuine curiosity about the AI tooling landscape and a habit of keeping up with it

• Contributions to the MCP spec, SDKs or popular open-source MCP servers
• Experience writing agent skills, plugins or rules files for Claude Code, Cursor or Codex
• Experience with LLM eval tools and building benchmarks for agents
• Experience with AEO or GEO, or with tracking how LLMs surface and recommend a product
• A blog, You Tube channel or Git Hub that developers already follow
• Experience with Vitess, database sharding, or running databases at scale

We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. Planet Scale is a profitable company with a…