Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
Track record of building developer tools or infrastructure that other engineers actually use
Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code
Nice to have: Experience building or contributing to MCP servers or similar agent-tooling integrations
Nice to have: Background in developer productivity, platform engineering, or developer experience roles
Nice to have: Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
Nice to have: You've set up sandboxed or containerized development environments at scale

Staff Engineer – AI Productivity

Key skills