Overview
About GoodLeap:
Full job description
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. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.
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. Champion modern engineering practices, including AI-assisted and agentic development workflows. 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.
7+ years of software engineering experience, including 2+ years in technical leadership or management roles Hands-on experience building and shipping LLM-based or agentic AI products (prompting, evals, agent frameworks, MCP or similar orchestration) Strong grasp of cloud-native architecture (AWS or equivalent), API design, and modern CI/CD practices Proficiency in TypeScript and/or Python Track record of hiring, coaching, and growing engineers through changing scope Excellent stakeholder management and communication skills; comfortable operating across Product, business units, Security, and Compliance Experience in a regulated environment (fintech, lending, payments) a plus Experience integrating AI or agentic tooling into the software development lifecycle to improve engineering throughput a plus
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