Job Overview
Location
Dallas
Job Type
Full-time
Category
HR & Recruiting
Date Posted
July 16, 2026
Full Job Description
📋 Description
- • 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.
- • 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.
🏖️ Benefits
- • OTE 80/20 Split $160,000-185,000 USD.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Harvey AI Inc.
Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.
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