engineering
Posted Mar 10Software Engineer - AI Productivity
at Hightouch
(north America), United StatesRemote
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
- Ensure our conventions and package structures are exposed in ways that agents can effectively use
- Track record of building developer tools or infrastructure that other engineers actually use
- System Design Screen [45m]: Designing a data processing feature end-to-end
Requirements
- Hightouch is the modern AI platform for marketing and growth teams.
- Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
- Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks.
- Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
- 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.
- AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage.
- This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience.
- 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.
- 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