Engineering Manager, AI Transformation

GoodLeap

1800

Remote, US, United States

Posted on: 2026-09-15

Category: renewables

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Employment type:

Full time

Remote?

Yes

Experience required:

Intermediate

Salary

Salary not provided

About the company:

GoodLeap is a sustainable home solutions company and technology platform that provides financing for clean energy and energy-efficient home improvements, including solar panels, battery storage systems, roofing, HVAC upgrades, and other eco-friendly home improvements. The company connects homeowners with a network of contractors and lenders to make sustainable home upgrades more accessible and affordable, streamlining the financing process through a purpose-built digital platform.

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.

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.

This is a hands-on technical leadership role for someone who can guide the architecture of agentic AI systems while building, coaching, and scaling the team accountable for them.

CA, WA, NJ, MA, DC, NYC range: $185,200 - $210,600
Rest of US Range: $169,100- $191,800
SF Range: $207,900- $235,700

In addition to the above salary, this role may be eligible for a bonus and equity.

Additional Information Regarding Job Duties and Job Descriptions:

Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

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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. 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.