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Stuut

Member of Technical Staff - Full Stack, Credit

  • Office
  • 6+ years

Salary

$185,000 - 250,000/ year

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Description

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.

Responsibilities

  • 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.
  • 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

Conditions

Top-of-market salary and equity package

Benefits

  • 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.

Where you’d work

From the office

About the company

Stuut

  • Industry: FinTech

Offices in New York City, United States, San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

1 red flag

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  • Your field
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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • PostgreSQL
  • AWS
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
FinTech
Specialty
Fullstack
Show 7 more factsShow less

Role

Category
Development
Specialty
Fullstack
Seniority
Staff
Experience
6+ years
Tech stack
  • Python
  • PostgreSQL
  • AWS

Location

Work model
Office
Region
United States
Offices
  • New York City, United States
  • San Francisco, United States

Compensation

Salary
$185,000 - 250,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
FinTech

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