
Job Overview
Location
San Francisco
Job Type
Full-time
Category
HR & Recruiting
Date Posted
July 16, 2026
Full Job Description
đź“‹ Description
- • At Harvey, we’re transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise.
- • This is a rare chance to help build a generational company at a true inflection point with 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support.
- • Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence.
- • We live by three values: Decisiveness, Simplicity, and Job's Not Finished.
- • The Law School Founding CSM is the global CS and activation function for the law school program, serving all geo managers as the operational backbone for product training, onboarding, account health, and activation across every school in the portfolio.
- • This is not a US role that also covers international; it is a global IC role that all geo managers draw on.
- • The role involves building and running the scaled post-sign partnership model for long tail school partners across all geographies, partnering with Legal Engineers and Law School Managers to translate school feedback into program improvements, owning portfolio-wide reporting, and maintaining the law school CRM across all geographies.
- • The ideal candidate has 5+ years in customer success, account or program management, or client services, preferably in a high-growth SaaS, legal tech, or professional services environment.
- • The candidate should have a build the machine mindset, be a player-coach, and have strong trainer and presenter skills.
- • A legal background or strong legal context is a plus, but not a requirement.
- • The candidate should be comfortable working across time zones and geographies in close coordination with a distributed team.
🎯 Requirements
- • 5+ years in customer success, account or program management, or client services
- • 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
- • 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
🏖️ Benefits
- • OTE 80/20 Split $160,000-185,000 USD
- • Depending on your location, an applicant privacy notice may apply to you
- • Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law
- • We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]
Skills & Technologies
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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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