Mentor, Claude Corps

Job description

CodePath is the largest educator of college computer science students in the country. We've trained over 50,000 students from more than 1,000 universities. Our partners include Amazon, Google, and other leading technology companies. After nearly a decade of training technical talent, we launched a $150M initiative with Anthropic to prepare people for careers in AI. We're expanding into new markets and growing our team as AI changes the workforce. People joining CodePath now will help shape this next stage of our work. We believe technical skills create opportunities. Our goal is to train millions of learners and create lasting economic impact. If you want to build something new, take ownership, and see the results of your work, this is a place to do it. About the Role Location: Remote, United States Role-Type: Full-Time, W2 Employee Reports To: AI Practice Lead, Claude Corps Compensation: $110,000 to $124,500 per year Start Date: No later than February 8th, ahead of the March 8th cohort launch Together with Anthropic, CodePath launched Claude Corps in June 2026, a national fellowship program with a $150 million commitment to place 1,000 AI-trained fellows at nonprofits across America. As a CodePath Mentor, you are the full-time coach and guide for a portfolio of roughly ten pods: about 20 fellows across 8–12 host organizations, from pre-Basecamp through the final day of the program. Your job is to help each fellow succeed not only in building with AI, but in navigating the organization around the work: understanding the problem, identifying the right stakeholders, communicating ideas clearly, building buy-in, and turning an AI-enabled solution into something people will actually use. The host organization directs the fellow's day-to-day work, the curriculum team owns what they learn, and your Sr. Manager of AI Practice is the manager of record who holds the performance bar. You carry the throughline across the fellow experience: you know your pods end to end, spot patterns and roadblocks early, coach fellows through ambiguity, and bring in deeper technical expertise when needed. The work combines asynchronous coaching and feedback with regular 1:1s, office hours, milestone reviews, roadmap and project feedback, and synchronous coaching when a fellow needs more than text. Fellows may be building technical integrations, designing AI-enabled workflows, educati…