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New York, New York, United States
Onsite
Stuut is the AI coworker that runs order-to-cash for the world’s leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank.
Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date.
Founded in New York by Tarek Alaruri and Ben Winter, Stuut has raised $93 million from Insight Partners, Andreessen Horowitz, M12, Microsoft’s Venture Fund, and others. Learn more at stuut.ai.
The Role
We’re hiring a Member of Technical Staff – Full Stack, Credit to help build Stuut’s next generation of credit products, including trade credit, receivables financing, payment plans, and related financial workflows.
You’ll work closely with product, data, and operations to turn messy operational and financial data into trustworthy credit state and deterministic decisions. You’ll build systems that understand what is owed, what has been paid, what is disputed, what counts toward exposure, and how those facts should drive credit policy.
This is a high-ownership product engineering role for someone who wants to work close to the underlying financial data and build systems where correctness matters. Deep credit expertise isn’t required, but you should have experience building financial systems and be excited to develop deep expertise in credit. Your work will help make Stuut’s credit decisions explainable, auditable, and reliable as we expand the platform.
What You’ll Do
Build and own core systems powering Stuut’s credit and financing products
Develop reliable exposure, balance, eligibility, and limit calculations across complex financial data
Design deterministic policy and decision systems that make credit outcomes explainable and auditable
Model financial state across invoices, payments, credits, disputes, orders, and related events
Build systems that safely handle delayed, duplicated, missing, or conflicting upstream data
Create controls for reconciliation, idempotency, stale state, overrides, corrections, and failure recovery
Integrate external credit data and internal behavioral signals into decision workflows
Partner closely with product, data, and operations to translate real customer workflows into scalable product behavior
Build reusable credit-domain primitives without introducing customer- or ERP-specific logic into the core system
You Might Be a Fit If You…
Have experience building credit, lending, payments, accounting, or other financial systems where correctness and controls matter
Have built deterministic policy engines, decision systems, ledgers, balance calculations, or exposure systems
Understand concepts like reconciliation, idempotency, audit trails, data provenance, and failure recovery
Are comfortable reasoning through incomplete, delayed, duplicated, or contradictory financial data
Think explicitly about state transitions, overrides, corrections, exceptions, and the difference between confirmed and pending financial state
Have strong systems design and product engineering judgment and can trace a financial result back to exactly how it was produced
Want ownership of a difficult product area and naturally question a number until you understand where it came from
Enjoy building explicit, deterministic systems that can eventually support many different financial products
Are highly proficient in Python and have experience working with technologies like Postgres, Snowflake, and AWS; experience with DBOS is a plus
Thrive in a high-growth startup where engineers work closely with the product and own problems end to end
US Compensation
Top-of-market salary and equity package
Benefits (for U.S.-based full-time employees)
Medical, dental & vision insurance coverage for you
401(k) & Match
Equity
Flexible PTO
Parental Leave
Stuut is an equal opportunity employer committed to building a team with diverse backgrounds, perspectives, and experiences. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law.
We are also committed to providing reasonable accommodations throughout the application and interview process. If you need any accommodations, please do not hesitate to reach out.
