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We’re building the intelligence layer for the real estate market. Our platform automatically discovers, normalizes, and analyzes property data from thousands of unstructured, real-world web sources. The goal is not listings or document search - but structured market intelligence: trends, anomalies, and investment-relevant signals. As our first engineering hire, you’ll design the core architecture from 0→1, build the data and intelligence foundation, and grow into a technical leader as the team scales.
Job Responsibility:
Design and build a scalable data ingestion system for messy, anti-bot-protected sources
Create a centralized data / knowledge layer that normalizes and connects property information across sources
Develop an analytics & ML layer to compute market signals and detect anomalies
Use LLMs as an interface and reasoning layer on top of structured data and computed metrics
Work directly with the founders on product decisions and technical direction
Establish engineering standards and help scale the team over time
Requirements:
Strong experience building production systems from scratch
Solid backend, frontend and data engineering background (language-agnostic)
Comfort working with unstructured data and unstable sources
Practical understanding of ML / analytics pipelines (not research-heavy)
Experience using LLMs in real systems (beyond simple API calls)
Ownership mindset and interest in early-stage, high-impact work
Nice to have:
Experience as a founding or early-stage engineer
Knowledge graphs or complex data models
Work in PropTech, FinTech, or market intelligence products