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Build Technologies

AI-native platform automating real estate development

Real Estate Data & Intelligence Engineer

Data Management +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A few years of experience in a data engineering, data science, real estate data, research, analytics, brokerage, investment, advisory, geospatial, or machine learning context involving relevant real-world data.
  • A CS, data engineering, or similarly technical background.
  • Curiosity about how the built world gets valued and built.

Responsibilities

  • Ingest, clean, link, and cross-reference property, land, power, planning, and market data sources into one record per site and asset.
  • Match parcels, owners, titles, and addresses across sources, and flag conflicts and gaps before they reach a decision.
  • Build comps selection, valuation and NOI inputs, distress and pricing-gap signals, and risk and red-flag detection for AI workflows and experts.
  • Find, evaluate, and onboard data sources that improve site validation speed and accuracy.
  • Maintain the speed, reliability, and coverage of the data and intelligence as the company expands into new markets.
  • Work with the geospatial team and domain experts to select relevant data sources, connect and cross-reference them, identify inconsistencies and hidden assumptions, and produce actionable answers for AI systems and clients.

About the Company

Build Technologies

AI-native platform automating real estate development

Build Technologies provides an AI-native platform for real estate and infrastructure that uses a multi-agent AI system, Dougie, to automate the entire commercial development lifecycle for institutional clients. The platform ingests data from more than 1,600 sources and uses a hierarchy of specialized agents, coordinated by LangGraph, to handle site selection, due diligence, power assessments, permitting, and pre-construction design, letting agents research markets, analyze properties, and generate financial models. It differentiates itself with end-to-end, autonomous workflow automation for complex development projects, marketed as agentic real estate and aimed at governments, developers, and investors. Its goal is to accelerate and automate large-scale development work and grow its engineering footprint in North America and Europe, acting as an AI operating partner for its clients.

Company size
11-50
Company stage
Seed
Total funding
$8.5M
Headquarters
San Francisco, CA
Founded
2025

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