Senior Engineering Manager, EvenUp

• 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

Desirable

• 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
• 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,
• Team 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 learning
• Product & 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 areas
• Cross-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 team
• Engineering 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 toil
• Mentorship & Growth: Recruit, mentor, and develop engineers through regular feedback, coaching, and career development. Support performance management, growth planning, and team health