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    CodePath

    Mentor, Claude Corps

    CodePath
    Full-time
    Verified Remote
    USAUSD 110,000 - 124,500GeneralToday

    About this role

    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 Manager of AI Practice, Claude Corps

    Compensation: $110,000 to $124,500 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.

    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, educating an organization on AI, or helping a nonprofit adopt an entirely new way of working.

    You do not need to be the deepest software engineer in the room. You do need enough technical fluency to understand what fellows are building, learn unfamiliar technologies quickly, and help them reason through AI-enabled solutions. Just as importantly, you need the judgment and coaching ability to help an early-career fellow navigate the people, communication, and organizational challenges that determine whether their work succeeds.

    This role is built for someone who gets energy from helping other people succeed. You may come from engineering, consulting, implementation, technical program management, AI enablement, education, or another client-facing technical environment. What matters most is that you have personally navigated ambiguity, helped people or organizations adopt technology, and can coach fellows through doing the same.

    Key Responsibilities

    Coach your pods

    Carry roughly 10 pods (about 20 fellows across 8 to 12 host organizations) full-time from pre-Basecamp through final day, calibrating your time across the portfolio rather than sinking into one pod

    Facilitate weekly 1:1s with all Fellows who report to you and document their progress, challenges, and successes using the tooling Claude Corps operates on

    Coach fellows through ambiguous projects, helping them clarify the problem, understand organizational context, identify stakeholders, and determine the right next step

    Give structured feedback on fellows' real work, including project plans, roadmap drafts, architecture proposals, presentations, technical implementations, and QBR deliverables

    Help fellows strengthen the professional skills required to succeed inside their host organizations, including communication, stakeholder management, presentations, prioritization, and navigating feedback

    Lead each fellow's Day 30/90/180/270 milestone review; own the fellow-level synthesis and hand it up to your Sr. Manager of AI Practice, who owns the roll-up and performance call

    Deliver the curriculum in your pods

    Deliver the just-in-time modules the curriculum team designs; author lane- or pod-specific content when they commission it because you have seen the gap from closer in

    Coach fellows on applying AI tools and workflows to real organizational problems rather than simply completing technical exercises

    Frame and debrief the cohort-wide all-hands your Sr. Manager of AI Practice runs, and the sessions where the curriculum team or a guest teaches your fellows directly

    Co-lead the Basecamp practical assessment alongside Anthropic's instructors; it is your first calibration on each cohort

    Help fellows navigate organizations

    Coach fellows through stakeholder discovery, requirements gathering, presentations, organizational buy-in, and change management

    Help fellows translate between technical possibilities and the business or mission needs of their host organizations

    Guide fellows through situations where the technical solution is only part of the challenge and adoption, communication, or organizational alignment is the real blocker

    Model how to work effectively with technical and nontechnical stakeholders, particularly in organizations that may be early in their AI adoption journey

    Keep the program honest

    When the same problem shows up across three fellows, raise it to the right owner: the Claude Corps leadership team for program efficacy, the curriculum team for curriculum, partner experts for technical depth, host-org managers for a host issue, or your Sr. Manager of AI Practice for a delivery or performance issue

    Be the first stop when a fellow's work is at risk, whether the roadblock is technical, organizational, or professional; surface significant risks to your Sr. Manager of AI Practice, who owns the escalation

    Work AI-natively: Claude and other modern AI tools should be core to how you research, build, coach, problem-solve, identify patterns, and provide feedback at scale

    Help fellows develop the judgment to use AI effectively, not simply the ability to operate a particular tool

    Key Success Metrics

    Fellows can point to concrete examples of how your coaching improved their technical judgment, communication, or ability to navigate their host organization

    100% of host-org managers you've worked with in the last 30 days can produce one concrete example of your impact

    You consistently identify recurring technical, professional, and organizational patterns across your pods and surface them to the right program owner

    Every Day 30 review is done and documented, handed up to your Sr. Manager of AI Practice, with a plan for any fellow whose work is at risk or ready for the next challenge

    Qualifications

    Required

    2–5 years of previous professional experience in software engineering, IT, data, technical program management, implementation, solutions engineering, forward deployed engineering, technical consulting, AI operations, or another technically adjacent role

    Hands-on, current experience using modern AI tools and workflows. You should be able to speak concretely about how you use tools such as Claude, AI agents, LLM-based applications, automation, or similar technologies to solve real problems

    Real coaching, mentorship, people-development, or management experience with concrete examples of helping someone navigate a challenge and become more successful

    Experience working across stakeholders to understand a problem, clarify needs, recommend or implement a solution, and help people adopt a new way of working

    Strong verbal and written communication skills, including the ability to facilitate discussions, coach someone through an important presentation, and provide thoughtful asynchronous feedback

    Comfortable operating as a technical generalist: you can learn quickly, ask the right questions, understand unfamiliar systems, and bring in deeper expertise when needed

    Comfortable coaching early-career professionals through ambiguity, feedback, organizational dynamics, and the expectations of working in a professional environment

    Comfortable with remote, synchronous obligations across U.S. time zones and about two evenings a month for cohort sessions and milestone reviews

    Preferred

    Client-facing consulting or implementation experience, particularly working with small businesses, nonprofits, education organizations, or teams adopting new technology

    Experience helping an organization adopt AI, automation, new software, or another significant change in how work gets done

    TA, bootcamp coach, fellowship mentor, instructor, manager, career coach, or other experience developing early-career technical talent

    Experience facilitating workshops, presentations, professional learning, or technical training

    Experience in a small or scrappy organization where understanding the business context was as important as delivering the technical solution

    Compensation

    CodePath has standardized salaries based on the position's level, no matter where you live. For this role, we're hiring for an Individual Contributor level position at an annual salary of $110,000 to $124,500. Salary is determined based on your relevant experience and skills as evaluated 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 – 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—$124,500 USD

    About CodePath

    CodePath
    CodePath

    CodePath is an AI-native organization that rebuilds computer science education for the next generation of engineers, CTOs, and founders. The company delivers industry-vetted technical courses and career support programs focused on reaching first-generation and low-income students who are traditionally left behind by traditional CS education. With over 40,000 students and alumni from 1,100+ colleges now working at 4,050 companies including Amazon, Google, and Meta, CodePath is reshaping the tech workforce and creating opportunity in software engineering careers. In 2026, the company is partnering with Anthropic to put frontier AI tools, including Claude, in the hands of more than 20,000 students across community colleges, state universities, and HBCUs. CodePath operates with the pace and ownership culture of a technical startup, using AI as a core part of how it works.

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