Hightouch
Staff Engineer, AI Productivity
Vaga remota de Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis3 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáMéxicoEstados Unidos
Resumo da vaga
Staff Engineer, AI Productivity
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
About the Role
- 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
About You
- 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
About You
- 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
Interview Process
- Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
- System Design Screen [45m]: Designing a data processing feature end-to-end
- AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
- Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical
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