EvenUp

Software Engineer, Cases Product Engineering

San Francisco, California, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Enterprise SoftwareIndustries

Requirements

Candidates should have over 5 years of hands-on, relevant experience in crafting applications and user interfaces, ensuring intuitive and user-friendly experiences. Proficiency in Python or Typescript is required, along with experience in backend frameworks such as Django or Node. A solid grasp of software development fundamentals, including data structures, algorithms, design patterns, and familiarity with protocols like SOAP, REST, and GraphQL is also necessary. Strong communication skills to convey technical ideas in an understandable manner and a user-focused mindset are essential. Bonus points for proficiency with AI, legal tech, and social impact projects.

Responsibilities

The Software Engineer will build and refine the experience of the AI-driven platform to deliver an intuitive, responsive, and user-friendly interface. They will collaborate closely with backend engineers, product owners, and designers to develop efficient, innovative solutions. The engineer will implement robust, maintainable, reusable code in a modern tech stack, actively engaging in the full project lifecycle from conception to deployment and iteration. They will also conceptualize the design and development of interfaces and integration architecture while optimizing application performance and responsiveness to ensure a smooth user experience.

Skills

Python
Typescript
React
Django
Node.js
REST
Grap
Data Structures
Algorithms
Design Patterns
Database Design
Query Optimization
ORM

EvenUp

Legal services for personal injury cases

About EvenUp

EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.

Key Metrics

San Francisco, CaliforniaHeadquarters
2019Year Founded
$214MTotal Funding
SERIES_DCompany Stage
LegalIndustries
201-500Employees

Risks

Increased competition from other legal tech startups could erode EvenUp's market share.
Reliance on a contingency fee model poses financial risks with unsuccessful cases.
Potential regulatory changes in AI use could impact EvenUp's operations.

Differentiation

EvenUp uses AI to automate legal document creation, reducing time and costs.
The company targets the $20 million insurance claim market with AI-driven solutions.
EvenUp's meticulous case preparation results in high settlement amounts and quick resolutions.

Upsides

Recent $135 million Series D funding shows strong investor confidence in EvenUp.
Launch of AI assistant Litty highlights growth in generative AI for legal automation.
Strategic board appointments could open new avenues for growth and partnerships.

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