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Leadership

Engineering Manager, AI Transformation

Goodleap · United States · full-time · Remote

Leadershipfull-timeRemoteUnited StatesUSD 169,100 – 235,700 / yearly
Software EngineeringSenior
RemoteJobs editorial overview

Strategic Overview

Engineering Manager, AI Transformation at Goodleap is a leadership opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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…

The role is listed for United States with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Software Engineering, Senior.

Job seeker snapshot

Key information at a glance

Role focusLeadership
LocationUnited States
WorkplaceRemote
Employmentfull-time
Experience7+ years
SalaryUSD 169,100 – 235,700 / yearly
PostedOct 17, 2026
Last seenOct 20, 2026
Role context

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, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of…

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.

What the role delivers

Key Responsibilities & Objectives

  • 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…
  • 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…
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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
Compensation & benefits

Salary & Benefits

Published compensation: USD 169,100 – 235,700 / yearly

Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Manager level in the same currency.

This jobUSD 169,100 – 235,700 / yearly
Current market range$130,000 – $850,000
Comparable jobs64

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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!

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RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This leadership opening is a useful opportunity for candidates whose experience matches Software Engineering, Senior. Its strongest career signal is the scope of the work itself — particularly 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. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Software Engineering, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyjobicy

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.