[Remote] Sales Development Representative at Pattern Data

United States

Pattern Data Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, LitigationIndustries

Requirements

  • BA/BS degree preferred
  • 1-3 years of experience in a SaaS or technology sales and account management environment, focused on mid-market or enterprise accounts
  • Strong understanding of sales processes and CRM best practices; HubSpot experience a major plus
  • Excellent communication, organizational, and time management skills
  • Comfort working in a fast-paced, high-growth environment and balancing competing priorities
  • Analytical mindset with strong Excel/Google Sheets skills and attention to detail
  • Strategic thinker with a proactive, curious, and collaborative attitude

Responsibilities

  • Own and manage a book of business focused on mass tort firms, consistently driving adoption, renewals, and revenue growth
  • Prospect, qualify, and run discovery calls and product demos with new clients, identifying needs and proposing tailored solutions
  • Conduct sales research to uncover business objectives and support senior AEs in developing strategic solutions for client challenges
  • Manage a high-velocity sales cycle from first outreach through close, structuring and negotiating smaller deals while supporting larger opportunities
  • Assist in developing account plans and tracking client activity to identify growth opportunities within existing relationships
  • Partner with other AEs and collaborate cross-functionally with Product, Client Success, and Marketing to share client feedback and improve sales processes
  • Attend industry events and travel as needed (up to 20%) to build and maintain strong relationships
  • Effectively manage time, prioritize objectives, and exceed goals in a fast-paced, results-driven environment
  • Own day-to-day HubSpot management: deal creation, pipeline updates, workflows, and data hygiene
  • Support mid- and senior-level AEs in their efforts to build and maintain reports and dashboards to track sales performance, pipeline health, and conversion metrics
  • Support documentation of sales processes, templates, and enablement materials

Skills

Prospecting
Lead Qualification
Discovery Calls
Product Demos
Sales Research
Deal Negotiation
Account Management
Cross-functional Collaboration

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.

Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees

Risks

Competitors like Luminance and Kira Systems are advancing their AI capabilities.
Data privacy regulations like CPRA may increase compliance costs for Pattern Data.
Law firms developing in-house AI solutions could reduce demand for Pattern Data.

Differentiation

Pattern Data uses AI to streamline personal injury claims processing.
The platform automates tedious tasks, improving efficiency for law firms.
Pattern Data offers predictive analytics to enhance case quality assessment.

Upsides

AI adoption in legal tech increased by 30% in 2023.
AI in legal tech is projected to grow at a 28% CAGR until 2028.
AI can reduce case processing time by up to 50%, boosting efficiency.

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