Software Engineer - AI Productivity

Hightouch•San Francisco, CA

6h•$180,000 - $320,000•Remote

About The Position

Hightouch is seeking a Staff AI Productivity Engineer to enhance the efficiency of their engineering organization's use of AI coding tools. This role involves building infrastructure, tooling, and documentation to significantly improve the effectiveness of AI agents across the codebase. The engineer will be responsible for setting up cloud development environments for autonomous agent operation, developing integrations for agents to access internal systems (like CircleCI, Slack, Datadog, Github), and creating documentation to help agents understand software development practices. The position also includes enabling engineers by addressing agent struggles and developing tools for non-engineers to make simple visual updates. The role requires acting as a "PM" for internal AI agents, staying updated on AI productivity trends, and driving improvements across Hightouch. This is a senior role focused on impact and potential for growth, with a salary range of $180,000 - $320,000 USD per year, location-independent, and includes meaningful equity compensation.

Requirements

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 Haves

Experience building or contributing to MCP servers or similar agent-tooling integrations
Background in developer productivity, platform engineering, or developer experience roles
Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
You've set up sandboxed or containerized development environments at scale

Responsibilities

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.