远程工作雷达

高级AI运营负责人

Senior AI Operations Lead

AI职能支持限定地区(需当地身份)
公司codepath
薪资未公开
工作地点Remote, United States
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2026-06-27
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote, United States 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。

CodePath是全国最大的大学计算机科学学生的教育机构。我们已经为来自1000多所大学的40000多名学生提供培训,我们的合作伙伴包括亚马逊、谷歌和其他领先的科技公司。我们花了近十年时间培养下一代技术人才,最近与Anthropic合作启动了一项1.5亿美元的计划,打造全球最雄心勃勃的AI人才计划。

我们现在正在拓展新市场并扩大团队规模,以便跟上AI变革劳动力的速度。加入CodePath的人将有机会帮助构建我们工作的下一个前沿领域。

我们认为技术技能是将原始才能转化为真正机会的最快方式。我们培养的是AI时代运行的工程师,目标是数百万学习者、数亿收入和数十亿美元的经济影响。如果你希望拥有某项事业,并成为一家以AI速度前进的组织从0到1旅程的一部分,这里就是你实现它的地方。

职位简介

地点:远程,美国

职位类型:全职

汇报对象:业务运营总监

薪资:每年11万美元至15万美元

我们正在与Anthropic合作推进Claude Enterprise的全面部署,我们希望在每个合适的功能中实现以AI优先、人工介入的工作流程,由代理执行有意义的重复性工作。CodePath正在招聘一名高级AI运营主管,以推动整个组织的这项工作。这份工作既涉及人员和运营,也涉及技术。Claude及其相关工具在熟练人员手中非常强大,你的任务是与队友一起构建真正让他们兴奋的事物,并加速我们重新编程高等教育的使命。

你作为内部顾问运作。你与一个团队合作,了解他们目前的工作方式以及他们未来希望的工作方式,并将这种抱负转化为在生产环境中长期有效的流程、定期任务、代理和质量标准。在这个过程中,你发现机会,跨团队连接资源,并发明之前不存在的工作方式。

我们分层次进行赋能,从入职培训到内部社区,再到开放的办公时间,以及与每个团队共同开发的功能特定课程。这个角色是最深层次的,也是最重要的:你与一个团队坐在一起,与他们一起建立流程,并一直待到流程稳定,这就是AI素养转变为行为改变和实际影响的方式。

查看英文原文

CodePath is the largest educator of college computer science students in the country. We've trained over 40,000 students from 1,000+ universities, and our partners include Amazon, Google, and other leading technology companies. We've spent nearly a decade training the next generation of technical talent, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.

We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work.

We believe technical skill is the fastest way to turn raw talent into real opportunity. We train the engineers the AI era runs on, building toward millions of learners, hundreds of millions in revenue, and billions in economic impact. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, this is the place to build it.

About the Role

Location: Remote, United States

Role Type: Full-Time

Reporting to: Director of Business Operations

Compensation: $110,000 to $150,000 per year

We're mid-rollout of Claude Enterprise company-wide with Anthropic, and we want AI-first, human-in-the-loop workflows in every function where it makes sense, with agents doing meaningful recurring work. CodePath is hiring a Senior AI Operations Lead to drive that work across the organization. This job is as much about people and operations as it is about technology. Claude and the tools around it are powerful in skilled hands, and your mission is to build things with teammates that genuinely excite them and accelerate our mission of reprogramming higher education.

You operate as an internal consultant. You embed with a team, learn how they work today and how they want to work in the future, and translate that ambition into workflows, scheduled tasks, agents, and quality standards that hold up in production over time. Along the way you spot opportunities, connect dots across teams, and invent ways of working that did not exist.

We run enablement in layers, from onboarding to an internal community to open office hours to function-specific curriculum we co-develop with each team. This role is the deepest layer, and likely the most important: you sit with a team, build the workflow alongside them, and stay until it holds, which is how AI fluency turns into changed behavior and real impact.

This role may grow to lead a small team of embedded enablement specialists as the function scales.

What You'll Do

  • Embed and audit. Rotate through functions. Audit how the team really works, map the repetitive tasks, and find the highest-leverage opportunities
  • Build the v1 fast. Develop task-specific agents and automations (research synthesis, status updates, partner reporting, monitoring) using whatever ships fastest: Claude, Claude Code, MCP integrations, and our existing stack including Google Workspace, Slack, Notion, Asana, HubSpot, Zendesk, and internally developed tools. You ship something for feedback in hours
  • Productionize and set the quality gates. Default AI output drifts toward mediocrity over time. You turn rough prototypes, yours and your colleagues', into production-grade tools, with the rubrics, evals, and review steps that keep output at a standard the team can trust
  • Build reusable assets. Create the skills, plugins, and templates teams self-serve from after your engagement ends, and maintain them as the tools evolve
  • Coach to self-sufficiency. The goal of each engagement is a team that no longer needs you. You teach through building alongside people, meet them where they are in their AI proficiency, and leave each team more capable and more confident
  • Measure, report, and rotate on. Track outcomes like time saved and quality gained, not platform activity. Present results to leadership to prioritize the next engagement, then document what you built, hand off cleanly, and move to the next function

Requirements

  • 5+ years in automation/ops tooling, including recent hands-on LLM/agent work in a professional setting
  • Hands-on experience building with LLM tools and low-code/no-code automation platforms (e.g. Claude, n8n, Zapier, Make). Comfortable writing and iterating prompts and evaluating whether AI outputs are reliable enough to hand off to a non-technical team
  • A systems thinker who sees a 12-step manual workflow and immediately knows which 8 steps can be automated, and how seemingly disconnected pieces connect
  • Ability to embed with non-technical teams, earn trust quickly, and translate pain points into working solutions
  • Taste and judgment about quality. You can tell strong AI-assisted work from slop, and you know how to build the guardrails that keep it strong
  • Clear written and verbal communication. The range to meet anyone where they are, from a teammate opening Claude for the first time to someone who has been building their own workflows for months, and to move each of them forward

Preferred

  • Experience deploying Claude or another enterprise AI assistant across a largely non-technical organization
  • Familiarity with MCP integrations and agent architecture patterns
  • A background in change management or internal transformation programs

What This Role Is Not

  • A software engineer. You will not build infrastructure or ship product code. You automate business processes and build agents that make teams more effective and impactful
  • Purely a trainer. You will teach constantly, but you teach through building alongside the teams
  • A researcher. You evaluate tools when it serves an engagement, but the core of the job is building, deploying, and iterating

Compensation

CodePath standardizes salaries by level, no matter where you live. Salary within this band is determined by the relevant experience and skills you demonstrate through our interview process.

Full-Time Employee Benefits

This is a 100% remote position, work from anywhere in the U.S. CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.

  • Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program
  • Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection
  • Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 to Jan 2)
  • Professional Growth: $1,000 annual professional development stipend and home office setup support
  • Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt
  • Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings

Pay range
$110,000—$150,000 USD

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