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About the Role
Stuut is transforming accounts receivable for B2B companies, making collections smarter and faster. This is a foundational role where you will build the data foundation that powers Stuut's intelligence layer, working closely with product and engineering teams to transform raw financial data into actionable insights. You will shape everything from data architecture to analytics, owning the entire data stack at a fast-growing company.
Responsibilities
- Build and own our data infrastructure from the ground up, designing 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 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.
- Partner with product, engineering, and applied ML to embed data quality, lineage, and observability into all deliverables.
- Implement DataOps best practices to ensure data and AI features are timely, accurate, and trusted.
- Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions.
- Scale our data platform as the company grows, anticipating future needs.
Requirements
- 3+ years of hands-on experience building production data pipelines using Python.
- Proficiency in SQL and modern cloud data warehouses.
- Deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar.
- Experience building or contributing to a semantic / metrics layer.
- Understanding of data modeling fundamentals and ability to design canonical schemas.
- Experience working with real-world data from SaaS APIs, ERPs, and third-party integrations.
- Experience with data quality and observability practices (freshness, lineage, automated testing, anomaly detection).
- Experience partnering with ML or applied AI teams on feature pipelines or supporting data infrastructure (bonus).
- Ability to thrive in ambiguity and build new systems.
- Experience or strong interest in fintech, B2B SaaS, or financial data; understanding AR/AP workflows is a plus.
Skills
- Python
- SQL
- Cloud data warehouses
- Snowflake
- BigQuery
- dbt
- Airflow
- Data modeling
- ETL/ELT
- Data quality
- Observability
- DataOps
Location
- U.S.-based
Work Type
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- Top-of-market salary and equity package
Benefits
- Medical, dental & vision insurance coverage
- 401(k) & Match
- Equity
- Flexible PTO
- Parental Leave
About the Company
- Stuut is transforming accounts receivable for B2B companies, making collections smarter and faster.
- Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets.
- We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures, Page One and Microsoft.