Founding Customer Success Manager responsible for building and scaling the global law school program at Harvey AI. Owns post-sales operations, product training, onboarding, portfolio reporting, CRM maintenance, and activation playbooks across all geographies while partnering with geo managers.
160k – 185k
Hybrid5+ YOECustomer Success
About the role
Responsibilities
Build and run the scaled post-sign partnership model for long tail school partners across all geographies — playbooks, templated cadences, training materials, and activation milestones.
Partner with Legal Engineers and Law School Managers to translate school feedback into program improvements and deeper embeds on key campuses.
Own portfolio-wide reporting: track usage trends, activation status, and account health globally; surface risks and opportunities to all geo managers and to Grace.
Own product training and demo delivery across the full law school portfolio — onboarding sessions, faculty demos, librarian trainings, classroom embeds, and workspace setup.
Maintain the law school CRM across all geographies — account notes, POC data, meeting logs, and opportunity tracking.
Lead end-of-term recap cycles, capturing Y1 learnings and aligning on Y2 activation goals with key internal stakeholders and Law School champions.
Requirements
5+ years in customer success, account or program management, or client services — preferably in a high-growth SaaS, legal tech, or professional services environment.
Build the machine mindset: you build systems, write playbooks, and hold yourself to metrics.
Player-coach approach: You are a founding CSM for this team and will have a strong part in growing it.
Strong trainer and presenter — you can run a room of law professors or a 1:1 demo with a student org leader and make both count.
Experience building scaled or tech-touch CS programs for large, distributed account portfolios.
Clear, direct communicator who doesn't let follow-ups fall through the cracks.
Comfortable working across time zones and geographies in close coordination with a distributed team.
Nice-to-Haves
Legal background or strong legal context is a plus, not a requirement — comfort explaining legal AI tools to a sophisticated legal audience matters more than a JD.
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