About Build

AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion.

Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.

To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms.

Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.

About the role

A database gives you information. Build should tell you what it means and what to do next.

Every site Build validates - power capacity, energisation date, zoning, title, comparables - depends on pulling together data that lives in hundreds of fragmented sources: parcel and title records, planning and zoning portals, grid and utility data, transaction comps, geospatial layers. This role owns turning that mess into a single, trusted picture of every site and asset, and building the intelligence that sits on top of it.

You'll work alongside our geospatial team and our domain experts to decide which sources matter, connect and cross-reference them, catch inconsistencies and hidden assumptions, and turn the result into answers our AI and our clients can act on.

What you will own

The real estate data layer: ingesting, cleaning, linking and cross-referencing property, land, power, planning and market data sources into one record per site and asset

Entity resolution and data quality: matching parcels, owners, titles and addresses across sources, and flagging conflicts and gaps before they reach a decision

The intelligence on top: comps selection, valuation and NOI inputs, distress and pricing-gap signals, and risk and red-flag detection that our AI workflows and experts use

New sources: finding, evaluating and onboarding the data that makes Build's site validation faster and more accurate than anyone else's

The speed, reliability and coverage of all of the above as Build expands into new markets

Who this might be

A data engineer or data scientist at a real estate data company who has stitched together property records at scale

An engineer on a research, analytics or data team at a brokerage, investor or advisory firm who wants to build rather than report

A geospatial or ML engineer who has built valuation or site selection models on messy real-world data

Typically a CS, data engineering or similarly technical background, with a few years of experience and a real curiosity about how the built world gets valued and built

How to win at Build

Growing Build requires a radically different approach to company building. As a company we're focused on one outcome: winning. That means we move fast, work with intensity, and demand excellence from ourselves. We operate with intensity but create an environment that allows for a lot of fun together. The result is that we're one of the fastest shipping teams in vertical AI, partnering with the best to automate the world around us.

Performance and teamwork are the core of Build's operation. We look for those who are able to do both, who often exhibit a particular ability for;

Velocity: You are relentless in asking the right questions to set direction. Once you find the right direction you go all-in.

Excellence: You obsess with being the best. For you, excellence is a non-negotiable standard rather than an aspiration.