Job Description
CodePath is the largest educator of college computer science students in the country. We have trained over 40,000 students from 1,000+ universities. Our partners include Amazon, Google, Meta, and 4,000+ companies across the industry. We’ve been training the next generation of technical talent for nearly a decade, 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 are building toward millions of learners, hundreds of millions in revenue, and billions in economic impact for a generation of technical talent who have historically been locked out of tech. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, we think you’d love it here. 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 Manager of AI Enablement 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 proficiency with LLM APIs (e.g. Claude) and low-code/no-code agent frameworks. Strong understanding of prompt engineering and evaluation design 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 no
