Help Build the Future of Homeownership at Domalytx

The Problem

Homeownership in the U.S. is increasingly complex. With an aging housing stock (average age ~50 years), busy schedules, and limited DIY knowledge, many homeowners struggle to stay on top of repairs and maintenance. They often face uncertainty, difficulty finding reliable help, and costly surprises. Despite its scale, this problem remains largely unaddressed.

Our Approach

Domalytx brings proactive home management to a wider audience through a technology-driven platform. We’re applying AI to solve real homeowner problems—making it easier to maintain, manage, and protect the most valuable asset most people will ever own.

 

What We’re Building

Domalytx is a home intelligence platform that helps homeowners stay ahead of repairs, avoid unnecessary costs, and maintain long-term property value. Key components include:

  • Maintenance Prioritization: A rules-based system that ranks and explains what matters most — based on cost, safety, urgency, and owner goals.

  • AI for Contractor Management: Tools to help homeowners engage contractors more efficiently — from outreach to scheduling.

  • AI Agents - help homeowners get quotes from contractors

  • Expert-Guided Recommendations: Drawing on years of experience, we deliver clear, actionable advice tailored to each property.

  • Aligned Incentives: Our platform is focused on homeowner outcomes, not sales commissions — saving users 30–40% on typical maintenance costs through better timing and prevention.

What You’ll Work On

As an early team member, you’ll help shape both the product and the underlying systems. Areas of focus may include:

  • Databricks buildout

  • Designing a flexible data pipeline to handle diverse property data

  • Building AI agents that interpret home conditions and respond to user queries

  • Building our MCP system

  • Implementing vector search and retrieval grounded in home-specific context

  • Developing logic for routing queries between code, tools, and LLMs

  • Creating continuous feedback loops to improve system performance

  • Automating parts of the repair and maintenance workflow for homeowners

  • Working directly with users to test and refine features in the field

 

What We’re Looking For

  • Solid CS fundamentals, especially in systems and AI

  • Backend experience in Python, Go, Node.js, or TypeScript

  • Familiarity with LLMs, vector databases, and multi-agent systems

  • Experience shipping real products, ideally from scratch

  • Comfort navigating ambiguity and solving practical problems

  • A strong sense of ownership and interest in shaping early product direction

 

Why Join

  • Meaningful equity — significant ownership and long-term upside

  • Early leadership — shape the product, the team, and the culture

  • Traction — already generating revenue and working with real users

  • Opportunity — large, underserved market with clear needs

  • Impact — helping people make better decisions about their homes

 

Examples of Real-World Impact

  • Helping families avoid costly structural surprises

  • Clarifying priorities for elderly or first-time homeowners

  • Making home maintenance less overwhelming and more proactive

  • Giving every home a digital memory that improves over time

 

If you’re excited by practical applications of AI, early-stage ownership, and building something useful and lasting — we’d love to talk.