DescriptionWe are looking for a strategic and technically fluent Technical Expert/ Product Manager to lead the development of our Industrial Data Platform with a focus on AI/ML-driven intelligence autonomous operations and agentic AI capabilities. This platform powers next-generation industrial applications across O&G verticals enabling predictive insights autonomous decision-making and intelligent agents that interact with complex industrial systems including reliability process digital twins and operations.
Responsibilities- Drive product development and commercialization including strategy market research and customer engagement for Honeywells 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 deploymentforecasting 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.
Qualifications- 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.
- Bachelors 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.
DescriptionWe are looking for a strategic and technically fluent Technical Expert/ Product Manager to lead the development of our Industrial Data Platform with a focus on AI/ML-driven intelligence autonomous operations and agentic AI capabilities. This platform powers next-generation industrial appl...
DescriptionWe are looking for a strategic and technically fluent Technical Expert/ Product Manager to lead the development of our Industrial Data Platform with a focus on AI/ML-driven intelligence autonomous operations and agentic AI capabilities. This platform powers next-generation industrial applications across O&G verticals enabling predictive insights autonomous decision-making and intelligent agents that interact with complex industrial systems including reliability process digital twins and operations.
Responsibilities- Drive product development and commercialization including strategy market research and customer engagement for Honeywells 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 deploymentforecasting 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.
Qualifications- 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.
- Bachelors 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.
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