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AI Operations & Systems Architect (Job ID: ARSGOL1EA)

InsideOutVAS · Remote – South Africa

Salary
US$2,800 – US$3,200
Posted
7d ago
Source
Himalayas

Job description

🌟 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

Read the full advert & apply on Himalayas ↗

Saffa.global isn't the employer or recruiter. Never pay anyone for a job offer, visa or "processing fee".

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