---
title: 'Member of Technical Staff - Full Stack, Credit at Stuut'
canonical: 'https://feeny.ai/job/member-of-technical-staff-full-stack-credit-stuut-new-york-zty3zk4tmdtb'
type: 'job'
last_seen: '2026-09-07'
---

# Member of Technical Staff - Full Stack, Credit at Stuut

- **Company:** Stuut
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/stuut-ai/239ab80f-1f4d-4b81-8d30-706b975d00fd

## Job description

Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. 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.

## 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

## About Stuut

## Company Overview
- **One-liner**: Stuut provides an AI-powered platform that autonomously handles the entire accounts receivable (AR) process, from customer outreach to payment collection, to increase cash flow.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024
- **Founders**: Tarek Alaruri (CEO), Ben Winter (COO), Adam Chaarawi (Co-founder, Engineering)

## Core Business
- **Primary industries**: Accounts receivable automation, financial operations, order-to-cash software.
- **Target customers**: B2B – finance and accounting teams at companies using ERPs such as SAP, Oracle, NetSuite, and Dynamics (mid-market to enterprise).
- **Mission**: Transform accounts receivable from manual work into automated cash collection.

*Source: [stuut.ai](https://www.stuut.ai/), [stuut.ai/about](https://www.stuut.ai/about)*

## Products & Services
Stuut’s AI agent covers the full order-to-cash cycle with these modules:

- **Collections**: Proactively reaches out before invoices are overdue, finds billing contacts, and engages via email, SMS, and voice.
- **Cash Application**: Automatically matches incoming payments to invoices and provides click-to-pay functionality.
- **Deductions**: Autonomously identifies, investigates, and resolves deductions, recovering revenue that would otherwise be lost.
- **Disputes**: Handles disputes end-to-end – gathering documentation, communicating with customers, and maintaining detailed audit trails.
- **Payments**: Processes incoming payments and matches them to invoices.
- **Credit**: Evaluates customer creditworthiness and recommends optimal credit terms.

All modules operate on a unified AI that learns each customer’s payment patterns and preferences, personalizing every interaction. The platform integrates with major ERPs in 3–4 days.

*Source: [stuut.ai](https://www.stuut.ai/)*

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metrics**:
  - **Total Funding**: $29.5M (Series A led by Andreessen Horowitz, closed ~late 2025) – also $35.41M reported by CB Insights (possibly including prior rounds).
  - **Revenue**: Not publicly available.
  - **Employees**: 63 (as of mid-2026); monthly headcount growth of +11.1%, yearly growth of +212.5%.
  - **Active job postings**: 36 (monthly posting growth +56.5%, yearly +800%).
- **Notable Investors**: Andreessen Horowitz (lead, Series A), Khosla Ventures, Activant Capital (lead, Seed), 1984 Ventures, Carya Venture Partners, Page One Ventures.
- **Growth Signals**: 
  - Doubled headcount year-over-year.
  - Claims 40% average cash flow increase and 70% reduction in manual tasks for customers.
  - Linkedin followers grew 57.8% year-over-year to ~25,000.
  - Expanded from pilot to full product suite (6 modules) within 18 months of founding.

*Sources: [linkedin.com](https://www.linkedin.com/company/stuut), [cbinsights.com](https://www.cbinsights.com/company/stuut), [stuut.ai](https://www.stuut.ai/)*

## Competitive Advantages
- **True autonomy**: Unlike traditional AR software that provides better tools, Stuut’s AI agents execute complete workflows independently (end-to-end) without human oversight.
- **Rapid deployment**: 3–4 days vs. 6–18 months for legacy solutions.
- **Contextual intelligence**: Tracks every customer interaction across email, SMS, and voice, getting smarter over time.
- **Unified platform**: Collections, cash application, deductions, disputes, payments, and credit in one system – not a patchwork of point solutions.
- **ERP-native integration**: Works out-of-the-box with SAP, Oracle, NetSuite, Dynamics.

*Source: [stuut.ai](https://www.stuut.ai/)*

## Strategic Focus
- Continue building out the AI agent’s capabilities (e.g., adding more dispute and credit features).
- Scale the go-to-market team (open roles include Director of Revenue Operations, Product Marketing Manager) to capture the large AR automation market.
- Maintain rapid deployment and customer success to drive word-of-mouth growth.
- Deepen integrations with additional ERP systems and expand into adjacent financial workflows.

*Source: [linkedin.com](https://www.linkedin.com/company/stuut)*

## Why Work Here
- **Culture & values**: “Think independently,” intellectual curiosity, ownership, and proactive initiative. The team is described as operations and product nerds who hate bureaucracy.
- **Work model**: In-office in New York City (NYC headquarters). Built In lists “OnSite Workspace” with typical time on-site: None? (conflicting; but job postings mention hybrid). Likely a hybrid policy with strong in-office expectation.
- **Perks & benefits** (from Built In):
  - Healthcare benefits, childcare benefits, generous parental leave.
  - Company equity and performance bonuses.
  - Continuing education stipend, mentorship program, online course subscriptions.
  - Quarterly engagement surveys, diversity-focused ERGs, diversity recruitment program.
- **Growth opportunity**: High-growth startup (headcount up 212% YoY) with backing from top-tier VCs (a16z, Khosla). Employees get to shape the product and culture early.
- **Open roles**: 36 active positions across engineering (AI/ML, fullstack, data), product design, marketing, and revenue operations – sign of scaling.

*Sources: [builtin.com](https://builtin.com/company/stuut), [linkedin.com](https://www.linkedin.com/company/stuut)*

## Sources
1. [stuut.ai – Homepage](https://www.stuut.ai/)
2. [stuut.ai – About page](https://www.stuut.ai/about)
3. [linkedin.com – Stuut company page](https://www.linkedin.com/company/stuut)
4. [builtin.com – Stuut careers and perks](https://builtin.com/company/stuut)
5. [cbinsights.com – Stuut profile](https://www.cbinsights.com/company/stuut)

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