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AI EngineerMartell MediaNew York, New York, United States
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AI Engineer

Martell Media
  • US
    New York, New York, United States
  • US
    New York, New York, United States

À propos

About Martell Group The Martell Group exists to build people, brands, and ventures that create meaningful impact. Across our four companies, we combine audience, operators, and execution to launch scalable products and empower ambitious leaders in Media, B2B SaaS, and AI. Founded by serial entrepreneur and investor Dan Martell (investor in Udemy, Intercom, and Unbounce), we’re building a company that values leadership, growth, and simplicity, and we’re looking for people who live those values too.
Compensation $80,000 - $100,000 OTE
Location Remote
About the Role You’ll be Engineer #5, a core builder of one of our umbrella companies, the AI-powered CFO designed to solve operational finance for founders. Our platform replaces manual spreadsheets and lagging accounting data with real-time visibility, intelligent bookkeeping, and proactive financial controlling. You will be responsible for moving the product through our 3-phase roadmap: from real-time data aggregation to AI-driven automated collections and payments.
Core System Flow
Data Ingestion & Normalization : Plug into bank feeds (Plaid), accounting software (QuickBooks/Xero), and payment processors (Stripe/Shopify).
AI-Powered Categorization : Deploy agents to analyze, classify, and map transaction data to specific clients, product lines, and regions.
Conversational Intelligence : Enable founders to query their financial data using natural language (LLM-driven intent detection).
Real-Time Projections : Calculate cash burn, runway, and margin analysis using live data streams.
Automated AR/AP Engine : Build proactive monitoring systems that trigger automated reminders, escalating collections, and pre-approved payment workflows.
Responsibilities
Design and Implement Scalable Services : Build robust backend logic for financial data processing using TypeScript and Node.js.
Integrate 3rd Party APIs : Deeply integrate with Stripe, Shopify, QuickBooks, Xero, and banking APIs to ensure seamless data flow.
Build AI Workflows : Implement agentic frameworks (Google Agent SDK, Vercel AI SDK) for automated bookkeeping and debt collection.
Optimize Financial Logic : Develop and refine algorithms for cash flow forecasting, margin analysis, and profitability mapping.
Full-Stack Ownership : Work across frontend and specialized backend microservices to ship user-facing features quickly.
Troubleshoot & Refactor : Pick up existing code, identify bottlenecks, and refactor for efficiency and abstraction.
Tech Stack
Frontend : Vue, TypeScript
Serverless Backend : Convex
AI/LLMs : Gemini, Claude, OpenAI
Agent Frameworks : Google Agent SDK, Vercel AI SDK, Maestra, Convex
Database : Convex
Integrations : Stripe, Shopify, QuickBooks, Xero, Square, Plaid
Architecture : Separated concern environments, Microservices
What We’re Looking For
5+ years of experience
as a Full-stack or Backend-heavy Engineer.
You’ve built and worked on end-to-end SaaS, AI, fintech platforms covering all areas of the system
AI-First Mindset : You live the 10/80/10 principle (10% paper/brainstorming, 80% AI generation, 10% human refinement).
Problem Solver : You don’t just write code; you solve hard problems with creative human input.
Fast Shipper : You thrive on seeing your code in production quickly and aren’t precious about “perfection” over “progress.”
Team Player : You understand the impact of others relying on you and value proactive communication/syncing.
Detail-Oriented : You think ahead about the impact of small mistakes in financial data environments.
Nice to Have
Finance/Accounting Background : Prior experience with ERPs, bookkeeping systems, or fintech startups.
Big Data Experience : Experience handling large-scale transaction data and microservices architecture.
UI/UX Design : An eye for clean, functional design for financial dashboards.
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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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