Engineering Manager, AI DocGen

EvenUpSan Francisco, CA
Hybrid

About The Position

EvenUp’s document products empower attorneys to represent their clients more effectively and secure better outcomes. With over $1.5B in damages claimed to date, the Document Generation team is developing an industry-leading, AI-native platform for generating legal documents in personal injury law. As Engineering Manager for Document Generation, you will lead a high-impact team building the systems at the core of EvenUp’s business. You’ll balance strategic leadership with hands-on technical contribution, collaborating closely with founders, product, and cross-functional partners to scale AI-native workflows that directly advance EvenUp’s mission to ensure personal injury victims receive fair compensation.

Requirements

  • 4+ years of direct people-management experience leading software engineering teams
  • Proven ability to ship and scale complex, high-quality software systems
  • Strong technical background with experience in distributed systems and modern backend architectures
  • Demonstrated success balancing strategic leadership with hands-on technical contribution
  • Experience leading teams in fast-paced, high-growth environments
  • Excellent communication skills and ability to influence across cross-functional partners
  • Strong sense of ownership, accountability, and bias toward execution

Nice To Haves

  • Experience or strong interest in AI/ML, LLM-based systems, or legal tech
  • Background in AI-native or social impact–driven products

Responsibilities

  • Lead and scale a team building AI-native document generation workflows
  • Drive execution across complex, mission-critical initiatives tied to EvenUp’s core products
  • Partner with Product, Design, Legal, and Operations to deliver high-quality, customer-centric solutions
  • Establish and uphold a high bar for engineering quality, reliability, and operational excellence
  • Guide technical decision-making across architecture, system design, and AI integration
  • Use data-driven insights to continuously improve delivery velocity, quality,
  • Set and communicate a clear technical and execution vision aligned with EvenUp’s broader goals.
  • Lead engineers through the full software lifecycle, from planning and architecture to deployment and monitoring.
  • Foster a culture of ownership, accountability, collaboration, and continuous learning
  • Guide the development of advanced AI workflows, including LLM-based systems and expert-review pipelines.
  • Balance innovation and pragmatism when scaling AI-driven products in production environments.
  • Contribute hands-on as needed, particularly in complex or high-impact technical areas
  • Work closely with founders, product managers, designers, and stakeholders to scope, prioritize, and deliver initiatives.
  • Translate business and customer needs into clear technical direction for the team
  • Champion best practices across architecture, coding standards, testing, security, observability, and reliability.
  • Ensure systems handling sensitive data are secure, compliant, and production-ready.
  • Oversee operational ownership, including incident response, on-call health, and reducing operational toil
  • Recruit, mentor, and develop engineers through regular feedback, coaching, and career development.
  • Support performance management, growth planning, and team health

Benefits

  • Choice of medical, dental, and vision insurance plans for you and your family.
  • Additional insurance coverage options for life, accident, or critical illness.
  • Flexible paid time off, sick leave, short-term and long-term disability.
  • 10 US observed holidays, and Canadian statutory holidays by province.
  • A home office stipend.
  • 401(k) for US-based employees and RRSP for Canada-based employees.
  • Paid parental leave.
  • A local in-person meet-up program.
  • Hubs in San Francisco and Toronto.
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