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GoodLeap is a fintech company providing financing and software solutions for sustainable home improvements—solar panels, batteries, HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have used the platform, and thousands of professionals rely on GoodLeap's AI-powered applications and developer tools. The company has facilitated over $30 billion in financing since 2018.
You will lead the AI Transformation engineering team, owning both people leadership and technical direction. Your responsibilities include:
**People Leadership:** Hire, coach, and develop engineers on your team. Own performance management and career development. Build a high-performance, accountable engineering culture.
**Technical Leadership:** Own the architecture, delivery, and reliability of AI solutions including agents, plugins/skills, evaluation harnesses, integrations, and 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. 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. Manage technical debt and scalability as the AI solutions portfolio grows.
**Requirements:**
- 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) preferred
- Experience integrating AI or agentic tooling into the software development lifecycle to improve engineering throughput preferred
