Senior Client Success Manager
Modern HealthSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Legal Tech, Medical Data Analysis, AI/Software PlatformIndustries
Requirements
Candidates should possess at least 3 years of experience in client management, consultancy, reporting, and analytics, along with a self-starter attitude and the ability to work with top executives. They should demonstrate a love of learning and an aptitude for absorbing and synthesizing technically complex information, as well as proven ability to interact with enterprise customer teams at various levels of technical and non-technical depth.
Responsibilities
The Client Success Manager will drive high-touch, high-impact relations with managing partners and staff at law firms to communicate data-driven insights and recommendations, reinforcing Pattern’s ROI. They will also drive product adoption and client loyalty by providing support and direction via Pattern’s product analytics and support tools, analyzing business processes and client data to quantify client health and stay ahead of client challenges. Furthermore, the role involves researching and developing new algorithms based on scientific/medical criteria, editing algorithms and identifying opportunities to improve model performance, and collaborating with the team to define ways to improve the process for litigation algorithms.
Skills
Client Relationship Management
Data Analysis
Product Analytics
Medical/Legal Data Insights
Algorithm Development
Client Support
Business Process Analysis
Pattern Data
AI platform for streamlining litigation processes
About Pattern Data
Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.
Key Metrics
Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees