Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
RC
Rocket Companies
Software Engineering Manager - AI Enablement and Developer Tooling
Career Insights for Software Development / Engineering Manager
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Michigan data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Software Development or Engineering Manager leads teams of software developers who design or improve computer software. Manages and oversees the software development process and directs the work of software engineers. May be primary contact with customers or users; may manage software development project budgets and hire or train staff.
$144,500 / year median in Michigan
Job Description
Servicing Technology builds and runs the systems Rocket Mortgage clients use to manage their mortgage after closing — payments, escrow, payoffs, and the support experiences around them. As Software Engineering Manager (AI Enablement and Developer Tooling), you will lead the team that builds the tooling, accelerators, and shared engineering systems that make it faster and safer for every team in the Organization to build and operate AI-powered software. You remove friction for the engineering teams you support through self-service tooling, reusable patterns, automation, and strong feedback loops. This is a builder's role in a space that is still being defined: you will shape what this team owns, earn credibility with senior engineers, and influence architectural decisions well beyond your direct reports. About the Role Lead, mentor, and grow a team that owns AI enablement, developer tooling, and reusable accelerators for Servicing Technology Stay hands-on — review code, prototype, and work with AI-assisted development yourself, setting the engineering quality bar by example rather than by directive Build the internal tools, automation, workflows, and reference implementations that remove friction and measurably improve engineering productivity across Servicing teams Drive real adoption of AI capabilities — shared patterns, evaluation, experimentation support, and production-readiness guidance — so teams ship AI-powered software confidently rather than experimentally Raise the bar on observability, resilience, incident learning, automation, and reduction of operational toil across Servicing Technology Turn ambiguous problems into clear ownership, decisions, and measurable outcomes, partnering with engineering, security, product, and senior leadership to align on AI strategy and infrastructure investment About You Minimum Qualifications Have led a team whose output was consumed by other engineering teams — a shared capability, tool, or platform — rather than a single application or an operational function Engineering leadership experience managing technical teams, including hiring, developing engineers, and setting technical direction Strong technical depth in distributed systems, cloud infrastructure, or software delivery — enough to challenge architecture and earn credibility with senior engineers Hands-on coding ability — you still write and review code, and can reason through a problem in a codebase alongside your engineers Credible, practical understanding of modern production