Software Engineering Manager - AI Enablement and Developer Tooling

Rocket Mortgage•Detroit, MI

3d•Onsite

About The Position

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.

Requirements

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 AI: LLMs, RAG, agents, model APIs, evaluation, lifecycle management, governance, and cost
Proven ability to create clarity in ambiguous spaces — establishing ownership, driving work through completion, and showing measurable outcomes
Excellent communication and cross-team influence, with the ability to explain complex technical tradeoffs to engineers, security partners, product, and executives

Nice To Haves

Built or led developer tooling, shared engineering capabilities, or developer productivity programs at scale
Productionized AI or LLM capabilities, or led AI enablement initiatives across multiple engineering teams
Drove measurable adoption of a shared capability across multiple teams — not just delivery of it
Strong awareness of how the wider industry is solving these problems, with a track record of adapting proven practices thoughtfully rather than copying them; contributions to the broader engineering community (open source, writing, speaking, standards) are a plus
Agent frameworks, AI evaluation and tracing, model routing or inference-cost optimization, and AI security, governance, and safety practices.
Show us something you built that materially changed how other engineers build or operate software.

Responsibilities

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