Engineering Manager, AI DocGen

Engineering Manager, AI DocGen LocationSan Francisco (hybrid); Toronto (hybrid)Employment TypeFull timeLocation TypeHybridDepartmentEngineeringCompensationToronto, HybridEstimate Comp Band CA$179,600 – CA$243,088 • Offers EquitySan Fransisco, HybridEstimate Comp Band $232,175 – $294,308 • Offers EquityThe salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities.EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.🎥 Life as an Engineer at EvenUpLocation & Work ModelThis is a hybrid role, with an expectation of being in our SF office three days per week.About the TeamEvenUp’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.ResponsibilitiesLead and scale a team building AI-native document generation workflowsDrive execution across complex, mission-critical initiatives tied to EvenUp’s core productsPartner with Product, Design, Legal, and Operations to deliver high-quality, customer-centric solutionsEstablish and uphold a high bar for engineering quality, reliability, and operational excellenceGuide technical decision-making across architecture, system design, and AI integrationUse data-driven insights to continuously improve delivery velocity, quality,What You’ll DoTeam Leadership & Strategy: 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 learningProduct & AI-Native Development: 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 areasCross-functional Collaboration: 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 teamEngineering Excellence & Operations: 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 toilMentorship &...