远程工作雷达

资深工程师, 人工智能生产力

Staff Engineer, AI Productivity

AI开发工程限定地区(需当地身份)
公司Hightouch
薪资未公开
工作地点Remote (North America)
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2026-06-11
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote (North America) 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于 Hightouch

Hightouch 是一个由行业领先的可组合 CDP 驱动的代理型营销平台。通过在一个地方整合完整的品牌背景、客户数据和绩效历史,每位营销人员终于能够自己构建并交付端到端的营销活动。团队可以更快地行动,保持品牌一致性,并获得真正有效的 AI 营销。

成立于 2019 年,总部位于旧金山,Hightouch 让营销团队以前所未有的速度和质量分析绩效、头脑风暴创意并生成内容。

被列为 2026 年 Gartner® Magic Quadrant™ 客户数据平台领域的领导者,Hightouch 获得了 Domino's、Spotify、Aritzia、Cars.com、Ramp 和 PetSmart 等领先企业的信任。

在 Hightouch,我们的使命是帮助客户利用数据和 AI 增长业务。团队充满雄心、注重成果、高效运作——我们相信谦逊、善良和同理心是成功的关键。如果你被速度所激励,痴迷于不断突破极限,并希望与那些 deeply 关心彼此和客户的伙伴一起打造产品,我们期待与你见面。

职位简介

我们正在寻找一位资深 AI 生产力工程师,以加速工程团队使用 AI 编码工具的效率。这是一个注重实践的技术岗位,专注于构建基础设施、工具和文档,使 AI 代理在我们的代码库中显著提升效率。

AI 工具发展迅速,我们认为那些投入资源让代理真正高效(而不仅仅是可用)的公司将具有显著优势。你将从头到尾负责这个问题:从设置代理可以自主运行的云开发环境,到构建 MCP 集成,使代理能够访问我们的内部系统,再到创建文档和上下文,帮助代理理解我们如何构建软件。

你将具备动手能力,能够亲自完成大量工作,并具备领导力,推动跨团队合作,全面提升标准。这个职位是我们的开发者生产力职位的补充,但有明确的重点:虽然开发者生产力负责构建/测试/部署流程,你将负责 AI 辅助开发体验。优秀的候选人可能同时承担这两个角色。

我们将解决的一些问题包括:

  • 负责代理开发环境:确保代理可以在独立的云开发环境中运行,
查看英文原文

About Hightouch

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.

Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.

Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.

At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you.

About the Role

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. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. 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. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

  • 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

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

  • 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

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

  • 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

E-Verify Statement

Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre-screen applicants.

E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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