Sales Executive
YipitDataSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, LitigationIndustries
Requirements
- BA/BS degree preferred
- 3-6 years of quota-carrying software or technology sales and account management experience
- Proven track record of meeting or exceeding annual quotas and closing deals with large ACVs (e.g., $50,000-$200,000 in size)
- Experience in outbound sales and pipeline generation, with a demonstrated ability to manage full-cycle consultative sales
- Strong communication, presentation, and negotiation skills with the ability to engage and influence stakeholders at all decision-making levels
- Comfort navigating complex client environments with multiple stakeholders and decision-makers
- CRM proficiency (HubSpot preferred) and strong operational discipline in managing pipeline and forecasting
- Strategic and analytical mindset, with the ability to turn client challenges into actionable solutions
- Previous experience selling into the legal industry or adjacent verticals is a plus
Responsibilities
- Own the full sales cycle – from prospecting to close – with law firms of varying sizes, focusing on building sustainable, high-value client relationships
- Develop a healthy pipeline, lead consultative sales conversations, and deliver tailored solutions that help firms scale their operations through Pattern’s technology
- Target new prospects and manage your own book of business, focusing on both mid-market and enterprise mass tort law firms
- Prospect, qualify, and lead discovery calls and demos to uncover client needs and propose data-driven solutions
- Strategize and implement creative approaches when faced with client challenges that defy easy fixes
- Build and maintain relationships with key stakeholders, decision-makers, and industry partners to support revenue goals
- Create account plans to maximize opportunities within existing and prospective clients, ensuring a recurring and sustainable book of business
- Structure and manage negotiations to successfully close deals and build long-term client partnerships
- Collaborate cross-functionally with Product, Client Success, and Engineering to advocate for client needs, shape feature development, and deliver customized solutions that maximize product adoption and value
- Represent Pattern at industry conferences, client meetings, and networking events to strengthen market presence and generate new opportunities
- Travel up to 30% for client meetings, on-site visits, and industry events
- Effectively manage time, prioritize competing objectives, and consistently exceed goals in a high-growth, fast-paced environment
Skills
Prospecting
Qualifying Leads
Discovery Calls
Product Demos
Consultative Selling
Account Planning
Negotiations
Pipeline Management
Client Relationship 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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