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Stuut Ai

Member of Technical Staff - Full Stack, Credit

New York City

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Role family
Engineering
Seniority
Lead / management
Country
US
Work mode
Remote-friendly
First seen by hirly
5 Sept 2026

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the posting

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, Medtronic 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.

  • 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

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

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Member of Technical Staff - Full Stack, Credit at Stuut Ai — hirly