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AI 运营及系统架构师 (Job ID: ARSGOL1EA)

AI Operations & Systems Architect (Job ID: ARSGOL1EA)

AI开发工程职能支持限定地区(需当地身份)
公司InsideOutVAS
薪资$2,800 - $3,200
工作地点South Africa
地域资格限定地区(需当地身份)
时区要求日间重叠约 3 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间8 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 South Africa 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

🌟 Exciting Remote Opportunity! We're Hiring an AI Operations & Systems Architect! 🌟
Are you an operational builder and AI systems architect who excels at untangling complex funnels, building custom automations, and deploying pragmatic AI agents? We are seeking an AI Operations & Systems Architect based in LATAM or South Africa to sit directly beside the Founder & CEO of a fast-growing, high-volume investment property lending firm!

🚨 IMPORTANT - Watch this quick Loom video on how to get hired: 🔗

🗣️ C1 ENGLISH LEVEL IS REQUIRED. The selected candidate will be speaking strictly in English during their whole shift. 🎙️ PLEASE SUBMIT YOUR RESUME AND AUDIO RECORDING IN ENGLISH.

📋 Job Details at a Glance

  • Job Title: AI Operations & Systems Architect ("Ops Savage" / AI Systems Builder)
  • Job ID: ARSGOL1EA
  • Industry: Business-Purpose Investment Property Lending (DSCR, RTL, Fix-and-Flip, Bridge)
  • Location: LATAM / South Africa
  • Job Status: Full Time
  • Work Schedule: Monday to Friday, 8:00 AM to 5:00 PM (PST) (Flexible)
  • Salary: $2,800 – $3,200 USD / month 💰
  • Target Start Date: ASAP 🚀

🏢 About the Client

Our client is a fast-growing, high-volume investment property lending firm specializing in business-purpose real estate loans. Having generated ~$45M in year-to-date loan volume, backend operations are currently capped at 15 deals per month due to manual processes. Leadership has intentionally paused outward marketing to build a scalable operational foundation that can handle 50 deals per month ($100M+ volume) without adding redundant headcount.
💼 About the Role

Forget the traditional Executive Assistant or "AI prompter" mental model. You will act as a systems architect and operational implementer—mapping our full customer journey (lead → sales → setup → processing → closing → funding), pinpointing where data leaks out, and building the tools, automations, and grounded AI agents that close those gaps.
🎯 Key Responsibilities

  • 🔍 Days 1–30 Focus (Funnel Visibility): Map the current workflow across sales, processing, and closing; audit CRM/LOS platforms and ad attribution to fix data breakdowns so marketing can safely restart.
  • ⚙️ Scalable Operations & Product Building: Redesign infrastructure to support a 3x deal growth (15 to 50 deals/month); prototype internal tools/interfaces using low-code/no-code, APIs, webhooks, and AI-assisted environments (Lovable, Open Code).
  • 🧠 Company Knowledge Base & "Company Brain": Build a centralized, searchable database of lender guidelines, rate sheets, overlays, and checklists for human staff and AI agents.
  • 🔄 Departmental Optimization & Handoffs: Clean CRM data (Close), automate lead scoring, build sizing/pricing tools, standardize qualification gates between sales/setup/processing, and develop internal condition-clearing copilots.
  • 📊 Lender Matching & Deal-Health Intelligence: Architect dynamic lender-matching logic (top 3–5 lenders per transaction) and real-time deal-health dashboards to predict closing probability.
  • 🤖 Pragmatic AI Agent Deployment: Incrementally build and deploy grounded AI agents (intake, guideline research, pricing copilots, condition clearing) with strict human-in-the-loop approvals.

✅ Qualifications & Skills

⭐ Core Requirements:

  • RevOps & Systems Mastery: Proven background in RevOps, CRM architecture (Close, HubSpot, GoHighLevel), and lifecycle workflow design.
  • Technical & AI Capability: Experience connecting systems via APIs, webhooks, and automation engines (Make, n8n); proficient in shipping working tools using AI-assisted development environments (Lovable, Claude, Open Code).
  • Pragmatic Architecture Mindset: Clear framework for "simple automation vs. full AI agent"—prioritizing data quality, security, and cost-efficiency over model hype.
  • Product & Operator Mindset: Ability to take vague founder problems, scope an MVP, build it, ship it, and drive internal adoption independently.
  • Communication & Hours: Native-level English fluency with full availability during US Pacific Time (PST) hours.

🌟 Preferred / Bonus Qualifications:
· Domain experience in loan origination, real estate finance, or private money lending (metrics like LTV, LTC, LTARV, DSCR, debt yield).

🛠️ Tech Stack Used:
· Close CRM, GoHighLevel, LendingWise (LOS), Make, Custom APIs/Webhooks, Lovable, Claude, ChatGPT, SendBlue, Google Workspace, Attio.

🚀 Submit your application today and take the first step toward your next great opportunity!
🌎 LATAM Candidates: Don't forget to join our exclusive Facebook community for more updates and remote opportunities specifically for LATAM candidates: 🔗 Join our LATAM-Only Facebook Group Here!
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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