Product Lead — IoT & Digital Twin Platform

Hiring Product Lead — IoT & Digital Twin Platform | Long Term Contract |Remote Role: Product Lead — IoT & Digital Twin Platform Duration: Full Time Remote Experience Required: 5+ years ABOUT THE ROLE We are building the next-generation smart facilities platform — one that goes far beyond traditional BMS. At its core is a live digital twin of every building we deploy in: a real-time, physics-informed virtual replica of its mechanical, electrical, and environmental systems. This role is for a hands-on Product Lead who can both architect and lead. You will own the full stack from edge device to cloud analytics, define product direction, and mentor a growing engineering team. If you have deep expertise at the intersection of IoT, controls, and scalable software — and are excited by the idea of buildings that think — this role is for you. Job Description: - End-to-end platform architecture: - Edge → Gateway → Cloud / On-Prem → Analytics → Control feedback loop - Digital Twin Development: - Build and maintain real-time building digital twins using physics-based and data-driven models - Model HVAC topology, asset hierarchies, and operational states in a live twin environment - Integrate BIM data, sensor streams, and historical operations data into the twin - Protocol & Systems Integration: - BACnet, Modbus, OPC-UA, MQTT — connecting real building systems to the platform - Real-time data ingestion pipelines and time-series analytics engines - Control strategy development: HVAC optimization, demand response, fault detection - Product thinking: translate facility-level problems into software abstractions and roadmap - Mentor and lead a team of 5–6 engineers across backend, integration, and analytics REQUIRED SKILLS & EXPERIENCE - 5+ years in IoT / Industrial IoT / Building Automation platforms - Deep understanding of HVAC systems: chillers, AHUs, VAVs, VRF, cooling towers - Hands-on experience with BACnet, Modbus, OPC-UA, MQTT - Digital Twin experience: - Building or industrial digital twin platforms (e.g., Azure Digital Twins, AVEVA, Siemens Xcelerator, custom) - Working knowledge of twin modelling concepts: ontologies, asset graphs, state synchronization - Strong backend engineering in Python — the primary language for data pipelines, analytics, and AI integration AI & Machine Learning Integration: - Experience embedding AI/ML models into production systems: predictive maintenance, anomaly detection, load forecasting - Familiarity with LLM APIs (OpenAI, Anthropic) or AI orchestration frameworks (LangChain, LlamaIndex) for building intelligent features - Experience with time-series databases: InfluxDB, TimescaleDB, or similar - Proven ability to lead engineering teams and drive product decisions

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