Product Management Lead

Technical Expert

• Knowledge of SaaS business models, customer success strategies, and technical product management with more than 3 years of experience.
• Strong grasp of industrial applications, OT/IT/ET integration, data protocols (OPC UA, MQTT), and Agile methodologies.
• Experience with cloud platforms, MLOps, UI/UX.
• Skilled in cross-functional teamwork, communication, and creative problem-solving.
• Bachelor s in Engineering;
• Proficient with AI/ML frameworks (TensorFlow, PyTorch), MLOps tools, and major cloud platforms (Azure, AWS, GCP)
• Understands agentic AI, digital twins, and autonomous decision systems.
• Knowledgeable about AI safety, ethics, and regulatory standards in industrial settings.

• Drive product development and commercialization, including strategy, market research, and customer engagement for Honeywell s Industrial Data Platform.
• Elaborate business requirements for platform capabilities such as
• Edge connectivity, time-series data, digital twins, and AI/ML integration.
• scalable features for AI/ML model deployment forecasting, anomaly detection, computer vision, and edge AI inference.
• Development of agentic AI interfaces, data ingestion, contextualization, and semantic modeling for industrial use cases.
• Scalable data lake house architecture for AI workloads
• Oversee product lifecycle, roadmap, pricing, and go-to-market execution. Collaborate with engineering, technology, marketing, and sales to deliver innovative solutions leveraging AI/ML, digital twins, and industrial data integration.
• Engage customers through advisory forums and support channels, gather feedback, and respond to needs.
• Monitor industry trends and competition, optimize pricing, and enable scalable, autonomous operations to achieve measurable business results.
• Establish KPIs to track adoption and revenue impact.