GC AI

HQ
San Mateo
Total Offices: 2
130 Total Employees
Year Founded: 2023

GC AI Offices

GC AI is headquartered in San Mateo and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Many roles are eligible for remote work in the U.S. and Canada. For folks who live within 50 miles of our San Mateo, CA, or Provo, UT offices, we value in-person collaboration and work in the office on Tuesday, Wednesday, and Thursday.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ
San Mateo

San Mateo, CA

20 N San Mateo Dr, Suite 5 and 8, San Mateo, California, United States, 94401 2814

Provo

Provo, UT

412 W Rivers Edge Dr, Provo, Utah, United States, 84604 1538

Recently posted jobs

2 Hours AgoSaved
Remote
3 Locations
Artificial Intelligence • Legal Tech
Shape legal AI products by designing evaluations, validating AI outputs, translating legal workflows into product requirements, and turning customer feedback into product improvements. Partner with Engineering, Product, Design, and GTM teams from discovery through launch. Provide legal expertise, define quality standards, create evaluation metrics, and guide roadmap decisions for AI experiences used by in-house legal teams.
2 Hours AgoSaved
Remote
United States
Artificial Intelligence • Legal Tech
Lead GC AI’s global Customer Success and Support organization through rapid growth. Own post-sale strategy, team structure, staffing, compensation, support operations, customer tiering, onboarding, renewals, expansion, retention, escalations, advisory programs, and customer feedback loops. Build dashboards and health scores, partner with Sales on revenue retention, and collaborate with Product and Engineering to convert customer insights into roadmap priorities.
27 Days AgoSaved
Remote
United States
Artificial Intelligence • Legal Tech
Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.