Test the PlanetScale 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 PlanetScale
Build and maintain skills for working with Postgres, MySQL, Vitess, Neki, and PlanetScale
Measure how well we're doing
Build evals that run real agent tasks against PlanetScale databases
Benchmark how agents perform with PlanetScale and work towards continuous improvement
Track how often AI assistants and agents recommend PlanetScale 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
Show people how to do it well
Build demos and sample apps that show PlanetScale 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
These attributes best describe you
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 TypeScript 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
Bonus points
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, YouTube channel or GitHub that developers already follow
Experience with Vitess, database sharding, or running databases at scale
Why PlanetScale
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. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.
At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status.
If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Total Compensation and Pay Transparency
An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.
Base Salary Range: $170,000 - $220,000
