Read the public record, carefully.

Work on systems where latency, data quality, and correctness are inseparable.

The work here is close reading of primary documents at volume, and turning them into something a busy professional can act on. It suits people who would rather be right slowly than first loudly. There are no open roles today - the coverage page explains what the data actually is.

Joining four city files into 995,043 pages that are each correct.

The engineering problem here is entity resolution at city scale. The city publishes a tax lot file, a building footprint file, an address file and a register of deeds, and none of them shares a key with the others in a way that always works. A footprint has to be matched to the lot it stands on, an address point to the structure it names, and a deed to the place it conveyed - and every one of those joins has a long tail where the honest answer is to refuse the match and log it rather than to guess.

The front end is the other half. A directory of 995,043 pages that each read as a finished page, a map that stays smooth on a phone while serving precomputed vector tiles, and a URL scheme with no opaque id in it, which means a wrong borough has to become a redirect rather than a dead end. None of that is exotic; all of it has to be right on every one of the pages.

It suits people who would rather be correct slowly than confident quickly, and who find it satisfying that the coverage page states where each dataset is wrong. If that sounds like the job you want, say so even when nothing is posted.

The principles behind every hire.

Production evidence

Work is judged by measurable behavior in production: latency, correctness, freshness, and recovery.

End-to-end ownership

Each engineer owns design, implementation, operation, and observability across a defined production surface.

Technical depth

The work spans distributed event listening, low-latency machine learning, point-in-time data, and regional delivery.

Direct collaboration

Research, data engineering, machine learning, and infrastructure make decisions together because latency and correctness cross every boundary.

Distributed team, deliberate coordination.

Work is organized for sustained technical focus, with direct coordination when a decision crosses research, data engineering, machine learning, or infrastructure.

Teammates sharing ideas together in a bright office
A team planning session at the whiteboard
Two engineers pair-programming at a laptop

Built for sustained, high-quality work.

Remote-first

Remote roles supported by asynchronous documentation and scheduled coordination across time zones.

Equity ownership

Early-stage equity with a transparent ownership philosophy.

Health coverage

Medical, dental, and vision coverage for you and your dependents.

Home-office budget

Dedicated support for a reliable, ergonomic remote workspace.

Learning stipend

Dedicated support for conferences, courses, books, and technical training.

Flexible time off

Flexible PTO with a minimum we enforce, plus parental leave.

Open roles

Every role is remote-first and carries end-to-end production ownership across a defined part of the network.

Don't see the right fit? Contact us with the systems or research problems you want to own.

Open the map.

Every tax lot, every building and every home in all five boroughs is on it, and each one has its own permanent address. Click a building to see what the city actually knows about it.