Goodleap

Engineering Manager, AI Transformation

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the 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, 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.

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.

Required Skills

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

Compensation

Additional Information

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!

We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis Javascript Python Mid level full-time

Likely questions

  1. Tell us about work you have done that is close to the Engineering Manager, AI Transformation role.
  2. How would you approach your first 30 days at Goodleap?
  3. Which of API integration, Data Analysis and Javascript have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Javascript.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Engineering Manager, AI Transformation role because I can bring practical experience in API integration, Data Analysis and Javascript, learn the team quickly, and contribute to the outcomes Goodleap needs from this hire.

Related jobs.

More roles from this company or category.