Stuut automates your entire order-to-cash process. Collect 40% more revenue with AI agents that actually do the work. Live and collecting cash in days. Backed by a16z.
About the role
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.
What they're looking for
- Have 3+ years of hands-on experience building production data pipelines using Python
- Know your way around SQL and modern cloud data warehouses, experience with Snowflake or BigQuery is a plus
- Have deep experience implementing ETL/ELT workflows at scale using tools like dbt, Airflow, or similar — and have opinions on what good looks like
- Have built or contributed to a semantic / metrics layer and care about metric consistency across surfaces
- Understand data modeling fundamentals and can design canonical schemas that normalize messy, heterogeneous source data into something usable
- Have worked with real-world data from SaaS APIs, ERPs, and third-party integrations — and have battle scars to show for it
More about this role
Stuut is transforming how B2B companies turn revenue into cash. Businesses worldwide have trillions tied up in receivables, yet the work between order and payment still relies on fragmented systems and labor-intensive manual processes. Stuut’s AI agent works across order management, credit, collections, payments, cash application, disputes and deductions, carrying context through every step. Customers reduce DSO by 47%, collect 40% more cash and eliminate 70% of manual work without replacing their ERP.
Stuut is already trusted by finance teams at companies including Honeywell, NCR and ZoomInfo, from Fortune 10 enterprises to scaling mid-market businesses. We are backed by a16z, Khosla Ventures, Activant, 1984 Ventures, Page One and Microsoft.
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...
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