The alarm system for e-commerce operations.
Our mission is to detect and disrupt the risks - from delivery fraud to "Item Not Received" (INR) claims - that create friction between merchants, carriers, and 3PLs. We sit at the intersection of e-commerce, logistics, and fraud, turning massive, complex data streams into the clear-cut intelligence our clients need to operate safely.
We're currently a lean, high-impact pod building our entire risk-detection brain. We are now looking for a foundational member: the Data Engineer who will build and own the infrastructure that powers our intelligence.
Architect of our entire data platform.
As our Founding Data Engineer, you will be the architect of our entire data infrastructure. This isn't a role for maintaining legacy pipelines - this is a greenfield opportunity to build our data platform from the ground up.
You will be the strategic partner to our Data Scientist and the founding team, defining how we ingest, store, and process massive volumes of data at scale. Your challenge is to take raw, real-time, and often messy data from carriers and merchants and build the clean, reliable, and high-performance data products that our models and our team will run on.
You are the one who will build the best infrastructure for our team, enabling us to move faster and build smarter than anyone else in the industry.
Own it end to end.
Define and drive the entire data engineering and MLOps roadmap in close partnership with the founding team.
Design, build, and own our data ingestion and processing pipelines, capable of handling millions of real-time events.
Build the data warehousing and data-lake solutions that will be the single source of truth for our risk models.
Partner with our Data Scientist to build the MLOps and data-serving infrastructure they need to build, deploy, and monitor models.
Go beyond notebooks. Own production systems, data quality, and reliability. You'll be the goalie for our data's integrity.
Build clean, automated, and observable systems that are a pleasure to work with.
Sound like this.
4+ years of experience in data engineering, platform engineering, or MLOps, preferably in a high-stakes, high-volume environment.
Fluent in Python and SQL with deep experience in data architecture, ETL/ELT, and data modeling.
Hands-on experience with cloud data platforms (especially GCP), stream processing (e.g., Kafka, Beam), and modern cloud infrastructure (e.g., Kubernetes, Cloudflare).
Obsessed with reliability and performance. You get energized by making a complex system fast, clean, and unbreakable.
A builder who shows, not tells. You prove how good you are by shipping elegant, working solutions.
Thrives on autonomy and ownership. You want guidance, not guardrails.
A listener and a collaborator. You know the best ideas come from group conversations and you're eager to build a common vision with a small, brilliant team.
Small team. Hard problems.
We are a small team of passionate, curious people dedicated to solving hard problems. Our culture is our foundation.
We give you the freedom, trust, and tools to build end-to-end solutions.
We're critical thinkers who obsess over the details. The best solution is rarely the first one.
Everyone talks to everyone. Your voice and your ideas are critical from day one.
We are building the best infrastructure for our team to create their best work.
Ready to build?
If you are a curious, resilient builder who wants to own a core part of a new product, we would love to talk.
