Senior Manager of AI Practice, Claude Corps

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, W2 Employee Reports To: Senior Director, AI Programs Compensation: $130,000 to $148,000 per year Start Date: September 21st, ahead of the October 19th 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. The mentorship model works, but we need experienced professionals to coach and guide those mentors, as well as be responsible for the success of our mentor’s performance and our curriculum delivered to the Fellows. A CodePath Mentor coaches about 20 fellows, so a thousand fellows means more than forty mentors, and someone has to own whether all of them actually deliver. That someone is the Senior Manager of AI Practice. You manage a team of mentors and you own the delivery outcome for their fellows: at full scale, about ten mentors and 200 fellows, fewer while the program ramps. You are accountable for whether fellows are actually learning, pod by pod and mentor by mentor. When a mentor's pods stall, when a fellow's work drifts off track, when the same problem shows up across three pods at once, it is yours to catch and yours to fix. Curriculum will be developed, with your influence, at scale, you own the delivery layer: seeing where it lands across your pods and where it doesn't. You keep Commons central to how your mentors and fellows work, and you close the loop back to the curriculum team so the next version is sharper than the last. This is a hands-on, operational role, and it grows with the program. You start by running the first cohort's small mentor team directly and build the delivery systems that let quality hold as the program climbs from 100 fellows to 1,000. A real part of the craft is reading when a lesson should come from a mentor inside a pod and when the whole group needs to hear it from you in real