Engineering Manager, AI Transformation

### About GoodLeap GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. ### Position Summary GoodLeap's AI Transformation team partners with business units across the company to enable safe and effective AI adoption through tools, guidance, infrastructure, training, and custom solutions — from Claude plugins and skills to AI agents, evaluation frameworks, and usage analytics. The Engineering Manager will lead the AI Transformation engineering team, owning the delivery, quality, and operational health of the AI solutions the team builds and maintains. ### Essential Job Duties and Responsibilities - **People Leadership**: Lead, coach, and grow the AI Transformation engineering team. Own hiring, performance management, and career development. Build a high-performance, accountable engineering culture. - **Technical Leadership**: Own the architecture, delivery, and reliability of the team's AI solutions (agents, plugins/skills, evaluation harnesses, integrations, usage analytics). Guide technical decisions on agentic workflows, LLM integration, and MCP-based orchestration. Set and enforce engineering standards for security, compliance, and auditability appropriate to a regulated financial services environment. - **Cross-Functional Execution**: Partner with Product, business units, and the Enterprise AI Governance process to align engineering delivery with business outcomes across consult, co-develop, and own-and-maintain engagement models. Own delivery across initiatives spanning multiple teams; define and track KPIs for adoption, quality, and velocity. - **Process & Operational Maturity**: Drive CI/CD, observability, and support rigor across the team's solutions. Manage technical debt and scalability as the portfolio of AI solutions grows. ### Required Skills - 7+ years of experience in software engineering and technical leadership.