Engineering Manager, AI Transformation
Goodleap · USA
About this role
## 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, frictionless technology that makes adoption more affordable, accessible, and easier to understand. Thousands of professionals 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. Since 2018, our platform has led to more than **$30B** in financing for sustainable solutions. GoodLeap also supports **GivePower**, an award-winning nonprofit building and deploying life-saving water and clean electricity systems for more than **1.6M** people across Africa, Asia, and South America. --- ## Position Summary — Engineering Manager, AI Transformation GoodLeap’s **AI Transformation** team partners with business units to enable safe and effective AI adoption through tools, guidance, infrastructure, training, and custom solutions—ranging from **Claude plugins/skills** to **AI agents**, **evaluation frameworks**, and **usage analytics**. As the **Engineering Manager**, you will lead the AI Transformation engineering team, owning the **delivery, quality, and operational health** of the AI solutions the team builds and maintains. This is a **hands-on technical leadership** role: guide the architecture of **agentic AI systems**, build and coach the team, and scale delivery with accountability. --- ## Essential Job Duties & 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 architecture, delivery, and reliability of the team’s AI solutions, including: - 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** in 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 Enterprise AI Governance 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 AI portfolio grows --- ## Required Skills - **7+ years** software engineering experience - **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** - Proficiency in **TypeScript and/or Python** - Track record of hiring, coaching, and growing engineers through changing scope - Excellent stakeholder management and
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