Founding Platform Engineer

Title: Founding Platform Engineer

Location: New York, NY, US

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_.