To build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics.
This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it.
Build and own our data infrastructure from the ground up — design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems
Build the transformation and semantic layer that serves as the single source of metric truth across customer-facing analytics, internal reporting, and our AI/ML systems
Design the canonical data model that normalizes information across heterogeneous source systems, with quality tests and observability built in from day one
Build the event and signal pipelines that turn product interactions and outcomes into clean, labeled data — the foundation for analytics, ML, and intelligent product features
Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into everything we ship
Implement DataOps best practices so our data — and the AI features built on top of it — stays timely, accurate, and trusted
Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions
Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks
You Might Be a Fit If You...
Have 5+ years of hands-on experience building production data pipelines using Python
