Engineering Manager — AI-Driven Delivery (Remote/Austin)

Homeward

United States

Remote

USD 150,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Healthcare coverage
Equity grant
401(k) with match
Paid time off
Remote-first culture

Job summary

Homeward seeks an Engineering Manager to lead the acquisition team within our Product & Tech group. This role reports to scale the team, deliver features on schedule, and drive processes to support rapid growth.

A coding-manager who can coach while coding is preferred, with a focus on AI-enabled workflows. The ideal candidate has a strong background in front-end or full-stack development, extensive leadership experience, and a track record of delivering high-quality software in fast-moving

Qualifications

  • 2+ years of experience as a front-line manager in a high-growth organization.
  • 7+ years of experience as an individual contributor.
  • Demonstrable front-end or full-stack experience.
  • Track record of adopting AI-assisted development on your team and turning it into real throughput.
  • Fluency with AI-powered features (LLM API integrations, RAG, AI-driven automation).
  • Experience with systems using monoliths and microservices.

Responsibilities

  • Lead a team of 3-4 software engineers delivering quality features on time.
  • Ensure what the team ships works for customers and operators.
  • Foster a build-test-learn culture with MVPs and iterative feedback.
  • Minimize hand-offs and avoid delays.
  • Promote strong engineering practices and AI-assisted development adoption.

Skills

People management
Team leadership
Front-end / full-stack
AI-enabled development
Communication skills
Ownership

Tools

Claude AI
Copilot
LLM integrations

Job description

Homeward seeks an Engineering Manager to lead the acquisition team within our Product & Tech group. This role reports to scale the team, deliver features on schedule, and drive processes to support rapid growth.

A coding-manager who can coach while coding is preferred, with a focus on AI-enabled workflows. The ideal candidate has a strong background in front-end or full-stack development, extensive leadership experience, and a track record of delivering high-quality software in fast-moving

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