Description review
Founding Platform Engineer
Converge · New York, New York, US · back to the listing
HR standards
52/100
needs work
Title ↔ description
78/100
solid
Reads as
Data Engineer
94% confident
How others title the same work
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What the listing never says
- 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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.