About The Position

We are reinventing consumer credit by using technology to easily tap into people’s assets. Our first product is the world's cheapest credit card – backed by home equity. Using many patented technologies, we sped up a process that usually takes 4-6 weeks and thousands of dollars down to as fast as 15 minutes and $0 to get. We are a well-capitalized (over $250MM in equity funding) team of technology (Square, Microsoft, Facebook) and finance (Discover, CapitalOne, Goldman Sachs) executives with top-tier investors – Founders Fund, Khosla Ventures, Max Levchin, NYCA, Sequoia, SciFi VC, Caffeinated Capital, etc. Our team includes people who have built: Financial products (Square/CashApp, the earliest CapitalOne credit cards) Consumer products ( Internet.org , Xbox) Technology infrastructure (Visual Studio, Windows & Azure, helped design the C++ & C# languages) Mathematics & science infrastructure (computational research at NASA’s JPL) We are missionaries who like to work hard on important problems - and build products that become infrastructure for society. We believe that using technology to lower the cost of capital for consumers is one of these problems - and if we can do it, it could have an infinite impact on people’s lives.

Requirements

  • Proven experience building and debugging production-level workflows in n8n (including custom nodes and JavaScript function nodes).
  • Deep understanding of Google Gemini or other Large Language Models, specifically in prompt engineering and tool-calling capabilities.
  • Strong experience with REST/GraphQL APIs, webhooks, and OAuth2 authentication.
  • Proficiency in Python or Node.js for writing custom logic within automation nodes.
  • Solid SQL skills for querying and managing financial data across various systems.
  • Candidates must be residing in the Philippines.

Responsibilities

  • Design and deploy complex, multi-step automations in n8n that integrate with internal financial databases, CRMs (Salesforce/HubSpot), and banking APIs.
  • Build autonomous AI agents using the Gemini API for tasks like document extraction (OCR), financial sentiment analysis, and automated report generation.
  • Implement robust error handling, retries, and monitoring to ensure workflows do not "fail silently"—critical for fintech operations.
  • Ensure all automations adhere to strict financial data privacy standards, implementing encryption and secure credential management.
  • Use AI to analyze existing business processes and suggest "high-leverage" automation opportunities to reduce manual overhead.
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