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Salary
$180k – $240k per year
Location
In office (New York)
Visa
H-1B filings in 12 months: 1 · for this role: 1
Employment
Full-Time

First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
The AI-native growth platform for DTC. Agentic media buying powered by industry-leading attribution and server-side tracking.
Backed by Y Combinator

We’re looking for a founding engineer to own and build out the data platform powering Converge.

Right now we are just 3 product engineers and already operate systems most companies don’t touch until much later. You’ll be the first engineer to fully own and scale the platform layer:

  • Handling $4 billion in annual revenue
  • Ingesting 20 TB every month
  • Processing 5 billion jobs every month
  • 6000 jobs / s at peak

  • Queries join, window, and aggregate up to 100M rows (100GB) in seconds, fully real-time.

This is not a typical SRE, systems, or backend engineering role. You will:

  • Drive your own roadmap
  • Go super deep on the hardest infra and systems problems
  • Work with product engineers to ship product that scales to the world’s largest consumer brands.

Some examples of what you’ll be working on:

  • Build out services that can ingest up to a trillion jobs / month

  • Stare at esoteric Clickhouse CPU and memory flamegraphs
  • Figure out how to materialize our attribution dataset to scale to join, window, and aggregate billions of rows in realtime
  • Build a SQL dialect for our customers (or agents) to directly query the data in Converge

This role is NOT for you if

  • You prefer to architect systems over building them. You will implement everything you design. Expect to be coding, a lot.
  • You want to own "big tech" style, multi-quarter migrations. We work with daily and weekly timelines.
  • You prefer working remote over in-person. We all love working from our NYC office.

What we’re looking for

  • Very strong coding skills (we mostly work with Python, you should be familiar with more performant languages)

  • Deep understanding of databases (OLTP & OLAP) (we work with Postgres & Clickhouse)

  • Experience at scale (you’ve seen first hand where things fall over in data-heavy systems)

  • You’re pragmatic and customer-minded. The best solutions involve a deep understanding of what customers need and of what’s not needed.
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