Automation Engineer (n8n Builder)

Location: Hybrid – Bogotá, Colombia
Employment Type: Full-Time
Department: Technology / AI Ops
Compensation: 15,000,000 COP monthly base + performance bonus tied to automation coverage and accuracy. Equity upside potential in 2026. PTO available.

Overview / Application

Cloud9’s mission: Reinvent hospitality through automation and AI—building the “AI-powered operating system” for short-term rentals.

We don’t hire to fill seats. We hire to pull levers that move KPIs. Intentions don’t count—outcomes do.

Our values: speed, meritocracy, accountability, execution.

Role Summary

This is a keystone engineering role. You will build the AI automation engine that encodes Cloud9’s operating playbook into software. Your code will replace human ops at scale—guest screening, pricing, communication, detection.

Managers who only “coordinate” die here. Doers thrive. Killers thrive. People who build fast, ship fast, and break through bottlenecks thrive.

Responsibilities (Outcomes, Not Tasks)

• Engineer automation that drives ops coverage from <70% → 90%+ in 6 months.
  

• Build and ship guest screening, dynamic pricing, AI comms, and problem detection across 15 buildings.
  

• Reduce manual ops intervention to <2 hrs/week per building.
  

• Orchestrate workflows using n8n, LangChain, HubSpot, APIs, and Fluency + Cursor.
  

• Prove accuracy: ≥95% guest approval accuracy vs. human baseline.
  

• Optimize performance: <100ms response time at 10x load.
  

• Ship 90%+ of sprint commitments on-time and working.
  

• Maintain <2% bug rate post-release.
  

• Ensure ≥80% of issues are caught via monitoring, not user reports.
  

• Drive automation margin up, protecting Cloud9’s profitability.
  

Results (Success Looks Like…)

• Ops automation ≥90% coverage, sustained.
  

• Cloud9 portfolio fully migrated to platform by Month 6.
  

• NPS ≥70, guest scores ≥4.8.
  

• API <100ms at 10x load validated against benchmark tests.
  

• 0 building churn. 99.9% uptime.
  

• Logs confirm 90%+ tasks closed by AI.
  

• Sprint velocity holds: ≥90% commitments shipped on time.
  

Requirements

• 4–7 years building automation systems or AI workflows (proof of tactical execution required).
  

• Fluency with APIs, n8n, LangChain, HubSpot, Guesty, Fluency, Cursor.
  

• Ability to prove KPIs you’ve moved before (automation %, latency, uptime, cost savings).
  

• Strong system design and debugging under pressure.
  

• Elite ownership, communication, adaptability.
  

• Bonus levers: AI agent orchestration, anomaly detection, optimization at scale.
  

Interview Warning: You will be asked to walk step-by-step through how you personally automated a workflow or moved a KPI. If you can’t, you fail.

Who This Role is NOT For

• People who confuse effort with results.
  

• “Idea” engineers who can’t ship code.
  

• Anyone afraid of feedback loops and public scoreboards.
  

• Managers who don’t code.
  

• Those who optimize for comfort over velocity.

Compensation & Benefits

• 15,000,000 COP monthly base.
  

• Performance bonus tied to automation % and accuracy.
  

• Equity upside potential in 2026.
  

• PTO available.
  

• No health, wellness, or relocation packages.

Core Values (Mandatory)

• Meritocracy – Outcomes > effort. Performance is public and measurable.
  

• Execution – Doers win. Prioritize, test, deliver fast.
  

• Radical Feedback – Real-time corrections. No politics.
  

• Championship Team – Only A-players. Mediocrity cut fast.
  

7/30/90 Day Scorecard

• Day 7: First workflow automation live in sandbox. Logs visible.
  

• Day 30: ≥50% automation coverage on core process. First building migrated.
  

• Day 90: ≥90% automation coverage. <2 hrs/week manual ops per building. Full system leveraged across 15 buildings.