Staff Engineer, AI Productivity

This is a fully remote position, open to applicants in North America.

📋 Description

• Take ownership of the agentic development environment: Ensure that agents are capable of functioning in independent cloud-based development environments, executing our complete test suites, and visually analyzing build results, among other tasks.

• Develop our tooling integrations: Create MCP server integrations that link our agents to the necessary systems for building and debugging software, including CircleCI, Slack, Datadog, Github, and more.

• Documentation and context management: Oversee our repo-wide agents.md file and collaborate with teams to guarantee that our library of agent guidance and skills continually raises the standard.

• Enablement: Partner with our engineers to identify areas where agents face challenges and address root causes, including improvements in documentation, tooling access, and more.

• Act as a “PM” for internal AI agents: Maintain our position at the forefront of AI productivity trends by keeping informed about the latest advancements in the industry.

⛳️ Requirements

• Solid software engineering fundamentals—you can quickly delve into complex backend code and grasp its intricacies.

• Extensive hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or comparable technologies).

• Proven experience in writing effective agent documentation, custom instructions, or context files that have significantly enhanced agent output.

• A history of building developer tools or infrastructure that are genuinely utilized by other engineers.

• Comfortable working across the entire stack: you will engage with CI/CD, cloud infrastructure, internal tooling, and application code.

• Nice to have: experience in building or contributing to MCP servers or similar agent-tooling integrations.

• Background in developer productivity, platform engineering, or developer experience roles.

• Familiarity with our technology stack: TypeScript/JavaScript monorepos, Go, GraphQL.

• Experience in setting up sandboxed or containerized development environments at scale.

🏝️ Benefits

• Meaningful equity compensation in the form of ISO options.

• Early exercise options.

• 10-year post-termination exercise window.