Law Schools Founding CSM, Harvey
$140-160k
OTE 80/20 Split. Offers equity
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$140-160k
OTE 80/20 Split. Offers equity
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 3+ years in customer success, account management, or client services — preferably in a high-growth SaaS, legal tech, or professional services environment
- Operator 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
What the job involves
- Harvey is redefining how the legal profession learns. Our law school program spans 100+ schools globally and is the foundation of how the next generation of lawyers will practice with AI
- The Law School CS Lead is the global CS and activation function for the law school program
- You serve all geo managers — US East, US West, and International — 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
- Think of it as a tag-team model: geo managers own the school relationships and program strategy; you own the deeper product delivery and account management
- This is the first dedicated CS hire for law schools
- You will build the playbook as you go
- Reports to the Head of Legal Partnerships, Law Schools
- Own product training and demo delivery across the full law school portfolio — onboarding sessions, faculty demos, librarian trainings, classroom embeds, and workspace setup for all geo managers and their schools
- Tag in to school relationships as directed by the relevant geo manager — you are not the first call, but you are the expert call — the person who makes demos land and trainings stick
- Build and run the scaled, tech-touch model for long tail schools across all geographies — playbooks, templated cadences, training materials, and activation milestones
- Own portfolio-wide reporting: track usage trends, activation status, and account health globally; surface risks and opportunities to all geo managers and to Grace
- Maintain the law school CRM across all geographies — account notes, POC data, meeting logs, and opportunity tracking
- Lead end-of-year recap cycles, capturing Y1 learnings and aligning on Y2 activation goals with each geo manager
- Support onboarding for new school signings globally — coordinate kickoffs, run initial training sessions, and drive early activation milestones
- Partner with Legal Engineers and Law School Managers to translate school feedback into product and program improvements
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
Salary benchmarks
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