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Software Engineering Manager (Agentic AI Applications)

Quicken Loans•United States•🌍 Remote
Full-timeSenior
$124K - $276K
per year
👁️ 0 views•📝 0 applications•Posted 10/23/2026•Expires 11/22/2026
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Job Description

As the Engineering Lead, you will lead the team building a newly launched AI-first product with direct revenue impact.

Our platform analyzes client communications and engagement signals to help mortgage bankers, the sales professionals who guide clients through home financing, focus on the clients most likely to convert.

Your team builds agentic AI applications: systems where agents reason, plan, use tools, and act on their own to drive real business outcomes. This is a player-coach role.

You'll spend real time in the code: shaping architecture, reviewing designs, building critical pieces yourself, and setting the technical bar by example.

At the same time, you'll own the health and direction of the team: hiring, growing engineers, setting priorities with product partners, and making sure the team ships things that matter. AI is not a side tool here. You'll use it as a core part of how you and the team design, code, test, debug, review, and ship software.

The ideal candidate is a strong engineer who genuinely wants to lead: someone energized by building a team and a product at the same time, and by defining what AI-native engineering looks like in practice. This is a rare setup.

You get the autonomy, pace, and greenfield ownership of an early-stage startup, backed by the stability, resources, and built-in distribution of an established company. The product just launched, usage is growing, and both the architecture and the team are still being shaped.

You won't inherit someone else's team or someone else's technical decisions. You'll build both, and your choices will define how this product and this team work for years.

You'll also get access to frontier AI development tools, including AI coding agents like Claude Code, as a core and funded part of how the team works.

About therole Lead a team of engineers building agentic AI capabilities such as agent orchestration, tool calling, retrieval-augmented workflows, and LLM-powered features. Stay hands-on: contribute to a

Required Skills

AIagentic AIsoftware engineeringarchitecturecodingtestingdebuggingdesignteam leadershipAI-native engineeringagent orchestrationtool callingretrieval-augmented workflowsLLM-powered features

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