Engineer automation systems for hospitality tech firm Cloud9 to drive ops efficiency via AI solutions. Responsibilities include workflow orchestration, accuracy validation, and performance optimization for service enhancement.
Responsibilities
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
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