Senior Data Engineer (AI-Native) — Data Layer About Us Proton is building the AI operating system for wholesale distribution, embedded in the workflows that move nearly every physical product on the planet. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data.

We hire people with high agency and high urgency. At Proton, everyone is a builder who owns problems end to end and ships AI-native software faster than anyone else in the category. ” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on Proton.

We’re backed by Felicis Ventures (Twitch, Shopify, Opendoor) and Battery Ventures. If you want to build the systems that shape how trillions of dollars of physical goods move through the economy, Proton is the place to do it. The Role We're hiring a Senior Data Engineer to own and grow our Data Layer — the unified foundation that every Proton product and our AI brain are built on.

You'll own the pipelines and architecture end to end: the medallion-style layers (raw → refined → curated), ingestion from a wide range of systems, and the serving the whole company depends on. We're investing heavily to make the Data Layer bigger and better, and this role is for someone who wants to do the hands-on building and shape where it goes next. Two things make this role different from a standard data engineering opening: You're an AI-native operator, not a pipeline author.

Every engineer at Proton uses Claude Code and other agentic tools as first-class collaborators. We expect pipelines, models, and migrations to be built and shipped with heavy AI leverage — you guide the agents, validate the output, and make the judgment calls they can't. You own the layer everything runs on.

When the AI gives a wrong answer or a number doesn't match the source, the trail leads back to the data. You own correctness end to end — ingestion, modeling, reconciliation, and the contracts other teams depend on. Location: Europe, remote.

Meaningful daytime overlap with our Boston (EST) team required.

What You'Ll Do

Own the Data Layer end to end: ingestion from file-, event-, and API-based sources; the medallion-style model (raw → refined → curated); and the serving layer that powers the product and the AI brain. Build and operate the ingestion and transformation pipelines that power the Data Layer, using a modern orchestration framework and cloud data warehouse. Ingest and reconcile large, messy, real-world data across many source types and shapes — batch files, streaming events, and APIs.

Model data across medallion layers so it's trustworthy, queryable, and stable for downstream teams and the AI. Help take the Data Layer to the next level — better architecture, better tooling, more scale, more sources — and have a real say in what that looks like. Operate AI coding agents (Claude Code and similar) at a high level: scope work, structure context, run agents in parallel where it makes sense, and ship reviewed, production-quality output.

Build the systems that make data trustworthy — validation, reconciliation, lineage, backfills, idempotent and incremental loads — so downstream teams and the AI don't inherit silent errors. Partner with backend, AI, and product engineers (and occasionally customers' IT teams) to define the data contracts they build on.

Requirements

7+ years hands-on as a data engineer with real, demonstrable production ownership — pipelines and data models serving real users at scale. Strong fundamentals.