AI Developer Experience Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $170k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PlanetScale

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

💰 $50M Series C on 2021-11

SaaS • Enterprise

PlanetScale is a leading cloud database platform known for its scalability and reliability, specifically as an OLTP database that allows MySQL databases to scale horizontally. Leveraging Vitess, an open-source project developed at YouTube, PlanetScale powers Tier 0 databases with scalable, distributed data management solutions trusted by major global brands like GitHub, Slack, and HubSpot. The platform offers deployment options across multi-tenant and single-tenant clouds, providing every user with robust performance backed by automatic sharding, query routing, and compliance with high security standards (such as SOC 2 Type 2 and HIPAA). PlanetScale is tailored for enterprises requiring reliable, efficient, and high-performing database solutions at scale, with extensive support and integration capabilities.

📋 Description

• Build and maintain PlanetScale plugins across AI marketplaces, directories, skill registries, MCP directories, IDE extension stores and AI app builders • Own integrations with AI coding tools, agent frameworks and platforms • Monitor newly launched AI tools and ensure a strong customer experience from day one • Test the PlanetScale MCP server and CLI across Claude Code, Cursor, Codex, VS Code and other clients • Identify and resolve friction in database creation, connections, migrations and query debugging within agents • Improve agent context through tool descriptions, skills, llms.txt, agent-focused documentation and actionable error messages • Optimize answer engine visibility so agents find and recommend PlanetScale • Build and maintain skills for Postgres, MySQL, Vitess, Neki and PlanetScale • Build evaluations that run real agent tasks against PlanetScale databases • Benchmark agent performance and drive continuous improvement • Track AI recommendations of PlanetScale and their accuracy • Instrument and report agent usage, including databases created, time to first connection, MCP versus CLI usage and session failures • Build demos and sample applications • Write documentation, guides and blog posts about using databases with AI • Create videos and attend conferences to communicate effective AI development practices

🎯 Requirements

• Daily use of AI coding agents • Experience building an MCP server, plugin, CLI or SDK used by real developers • Software engineering background in languages such as TypeScript and Go • Comfort with APIs, OAuth and the command line • Experience writing documentation, blogs and/or creating video content • Ability to communicate with broad audiences and customers on social media • Experience with relational databases including Postgres, MySQL and SQLite • Experience with schema design, migrations and connection handling • Production experience with Postgres or MySQL • Data fluency, including designing evaluations and writing dashboard queries • Ability to communicate technical ideas in writing, video and on stage • Independence, speed and ability to identify gaps and ship fixes • Curiosity about the AI tooling landscape and habit of keeping up with it • Bonus: contributions to the MCP specification, SDKs or open-source MCP servers • Bonus: experience writing agent skills, plugins or rules files for Claude Code, Cursor or Codex • Bonus: experience with LLM evaluation tools and agent benchmarks • Bonus: experience with AEO or GEO, or tracking how LLMs surface and recommend products • Bonus: a blog, YouTube channel or GitHub followed by developers • Bonus: experience with Vitess, database sharding or databases at scale

🏖️ Benefits

• Base salary plus variable compensation where appropriate • Equity • Benefits • Inclusive workplace • Interview process accommodations for candidates with disabilities