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Founding Platform Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Converge
Full Time position
Listed on 2026-03-01
Job specializations:
  • Software Development
    Data Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

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

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 flame graphs
  • 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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