Engineering Manager, AI Document Generation at EvenUp

San Francisco, California, United States

EvenUp Logo
$191,400 – $267,100Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
LegalTech, SaaSIndustries

Requirements

  • At least 4 years of direct people-management experience leading software engineering teams
  • Demonstrated ability to ship complex, high-quality software products and systems
  • Strong leadership skills, with proven experience in mentorship, career development, and fostering inclusive team environments
  • Excellent communication and collaboration skills to influence effectively across cross-functional teams
  • Expertise in scalable system architecture, software development lifecycle management, and software engineering best practices

Responsibilities

  • Set and communicate a clear strategic vision for your team, aligning technical initiatives with EvenUp’s broader goals
  • Lead teams through the full software lifecycle, from planning and architecture to implementation, testing, deployment, and monitoring
  • Establish and champion engineering best practices around coding standards, automated testing, security, observability, and reliability
  • Recruit, mentor, and develop engineers, fostering a culture of ownership, collaboration, continuous learning, and inclusivity
  • Collaborate cross-functionally with founders, product management, legal, and operations stakeholders to deliver exceptional, customer-centric products
  • Contribute hands-on as necessary, especially in areas related to LLM integration or optimizing AI-native workflows

Skills

AI
Document Generation
Engineering Management
Team Leadership
Strategic Vision
AI Workflows
SaaS
Software Development

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.

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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