nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize.
Role Summary
We are looking for a Senior Product Manager to lead AI/ML-driven product initiatives in the AEC (Architecture, Engineering, and Construction) and BIM (Building Information Modeling) domain.
The ideal candidate brings a strong blend of product management, AI/ML expertise, and AEC/BIM domain knowledge, with experience building intelligent systems that enhance design automation, construction efficiency, and lifecycle asset management.
You will define and deliver AI-powered capabilities that transform how buildings and infrastructure are designed, coordinated, built, and operated.
Core Responsibilities
Product Strategy & Roadmap
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Own and drive the product roadmap for AI/ML-powered BIM and AEC platforms
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Identify high-impact opportunities to apply AI/ML across design, coordination, construction, and operations workflows
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Define product vision for intelligent features such as predictive analytics, generative design, and automated decision-making
AI/ML Product Development
Design and deliver AI-driven capabilities, including:
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Automated clash detection and resolution
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Generative design and layout optimization
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Predictive insights for schedule delays, cost overruns, and risks
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Computer vision models for site monitoring and progress tracking
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Intelligent document processing (drawings, RFIs, submittals)
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Translate complex AI/ML models into scalable, user-facing product features
Data & Platform Capabilities
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Define data strategies for BIM and construction datasets (models, drawings, IoT, site data)
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Build and scale:
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Data pipelines for structured and unstructured AEC data
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Model training, validation, and deployment frameworks
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Feedback loops for continuous model improvement
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Ensure governance, data quality, and compliance across AI systems
Workflow Optimization & Automation
Enhance AEC workflows using automation in:
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Model coordination and validation
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Quantity take-offs and estimation
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Construction planning and reporting
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Identify inefficiencies in AEC processes and apply AI for optimization
Cross-functional Collaboration
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Work closely with data scientists, ML engineers, BIM specialists, and software engineers
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Partner with architects, civil engineers, contractors, and project managers to validate real-world use cases
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Collaborate with enterprise IT teams to enable integration with ERP, GIS, and project management systems
Metrics & Performance
Define and track KPIs such as:
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Model accuracy and performance
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Reduction in project risks and delays
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Improvement in productivity and cost efficiency
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Adoption of AI-driven features
Mandatory Skills / Qualifications
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10+ years of product management experience, with exposure to AI/ML-based products and platforms
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Strong domain experience in AEC, BIM, construction technology, or infrastructure platforms
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Proven ability to deliver data-driven and AI-powered products at scale
Technical Expertise
Strong understanding of:
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Machine learning concepts (supervised, unsupervised, deep learning)
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Computer vision and NLP applications relevant to AEC
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Data engineering and ML lifecycle (training, deployment, monitoring)
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Familiarity with BIM technologies and workflows:
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Model coordination, clash detection, and lifecycle management
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Data formats such as IFC, RVT, COBie
Domain Knowledge
Deep understanding of:
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Design-to-construction lifecycle
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Project planning, scheduling, and cost management
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AEC collaboration workflows and Common Data Environments (CDE)
Execution Skills
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Strong problem-solving and analytical mindset
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Experience translating complex technical concepts into customer-centric solutions
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Ability to manage cross-functional teams and stakeholders
Nice to Have
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Experience with BIM tools such as Autodesk Revit, Navisworks, BIM 360 / Autodesk Construction Cloud, Bentley, Trimble
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Exposure to:
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Digital twins and smart infrastructure
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4D/5D BIM (schedule and cost integration)
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IoT and sensor data integration in construction
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Background in civil engineering, architecture, construction management, or related fields
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Experience building AI for real-world physical environments (e.g., construction sites, infrastructure)
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Familiarity with cloud platforms (Azure, AWS, GCP) for ML deployment
Success Metrics
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Successful delivery of AI-driven BIM and AEC product capabilities
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Reduction in project delays, rework, and cost overruns
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Improved design quality and coordination efficiency
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Increased adoption of AI-powered features by AEC stakeholders
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Measurable gains in productivity and automation across workflows
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Scalable deployment of ML models across multiple projects or customers
Impact of the Role
This role will directly influence the digitization and intelligence of the built environment, enabling smarter design, faster construction, and more efficient asset management through AI.
