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Hightouch Logo Hightouch · IT - Software Development

Staff AI Productivity Engineer

United States Employment contract 180000.00 - 320000.00 USD / Year · Job Posted June 07, 2026
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Job Description

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

Job Responsibility

  • 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

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 have

  • 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

What we offer

  • Meaningful equity compensation in the form of ISO options
  • Early exercise and a 10 year post-termination exercise window
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