Senior Manager of AI Practice

Key Responsibilities

Manage the mentor team

Manage a team of mentors, about ten at full scale and fewer during the ramp: hire, onboard, coach, and hold the bar on the quality of their coaching

Run your team's operating cadence: weekly syncs, 1:1s, and the escalation path when a mentor or a fellow needs help

Make sure the day-to-day the model depends on actually happens across your team: pull requests reviewed on time, milestone reviews run, host managers engaged

Own delivery for your fellows

Own the delivery outcome for your portfolio, roughly 200 fellows at full scale: whether instruction lands, not whether mentors look busy

Own the agenda-based instructional time for your whole portfolio: set the agenda, and decide each session whether to teach it yourself, live and to everyone at once, or hand it to your mentors to run in their pods. Either way, whether it lands is on you

Hold the quality framework for mentorship: what good coaching looks like, how it gets reviewed, and what happens when it misses the bar

Own the milestone-review roll-up across your fellows, and step in on the ones whose work is at risk

Replace hand-tracking with delivery systems that hold at volume; the model ran on spreadsheets at 100 fellows and won't at 1,000

Own the CodePath-to-Commons layer

Partner with the Claude Corps strategic partners as their counterpart in the field: you see what is landing across your mentors and fellows, and you bring it back as structured signal

Own how your team uses Commons: the curriculum ships through the platform, and you own whether it is used the way it was designed

Turn what you see in the field into curriculum change requests the curriculum team can act on, and close the loop when they ship

Key Success Metrics

100% of your mentors are running their weekly cadence on schedule and you can pull that from your dashboard, not from what mentors report in standup

You can name where each mentor is strong and where they need help, and your weakest spot has a concrete plan implemented within 30 days

You've surfaced your top 3-5 delivery patterns across your fellows to the Claude Corps leadership team, and at least 1 has shipped as a curriculum change

You have a single delivery view that shows the state of your portfolio at a glance, in place of whatever was hand-tracked before you

Qualifications

Required

You have managed people and can point to specific ways you raised a team's performance, ideally technical or coaching staff

3-5 years software engineering, software engineering management, product management, or other engineering-adjacent management experience to judge the quality of technical coaching and read what fellows are shipping; you don't have to be the deepest engineer in the room, but the mentors have to respect your judgment

You can hold a room, teaching a live session and keeping it sharp, because some weeks you are the one in front of the group

You have owned a delivery or operations outcome at volume, personally on the hook for its quality

You have replaced manual, hand-run processes with systems that held up as the work scaled

You have shipped real work using AI-assisted development tools and can describe specifically how your workflow changed; you have to hold your mentors and fellows to that bar

Strong written communication: feedback, roll-ups, escalations, and change requests, in a remote and mostly asynchronous org

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

Preferred

You have managed coaches, instructors, or other managers in a bootcamp, fellowship, residency, or other cohort-based program

You have scaled a delivery team through fast headcount growth without letting quality slip

Comfort with a platform- or LMS-delivered learning model, and reading delivery data to find risk before it surfaces

Compensation

CodePath has standardized salaries based on the position's level, no matter where you live. For this role, we're hiring at an annual salary of $130,000 to $148,000. Salary is determined based on your relevant experience and skills as evaluated through our interview process.

Skills Required
Managed people and demonstrably raised team performance, ideally technical or coaching staff
3-5 years software engineering, engineering management, product management, or engineering-adjacent management experience
Able to teach and hold a live session effectively
Owned a delivery or operations outcome at volume and been personally on the hook for its quality
Replaced manual, hand-run processes with scalable systems
Shipped real work using AI-assisted development tools and can describe how workflow changed
Strong written communication for feedback, roll-ups, escalations, and change requests in a remote/asynchronous org
Comfortable with remote synchronous obligations across US time zones and about two evenings a month
Managed coaches, instructors, or managers in cohort-based programs (bootcamp, fellowship, residency)
Scaled a delivery team through fast headcount growth without letting quality slip
Comfortable with platform- or LMS-delivered learning models and reading delivery data to find risk