Senior Product Manager

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

• Own and drive the product roadmap for AI/ML-powered BIM and AEC platforms
  
• Identify high-impact opportunities to apply AI/ML across design, coordination, construction, and operations workflows
  
• 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:
  
• Automated clash detection and resolution
  
• Generative design and layout optimization
  
• Predictive insights for schedule delays, cost overruns, and risks
  
• Computer vision models for site monitoring and progress tracking
  
• Intelligent document processing (drawings, RFIs, submittals)
  
• Translate complex AI/ML models into scalable, user-facing product features
  

Data & Platform Capabilities

• Define data strategies for BIM and construction datasets (models, drawings, IoT, site data)
  
• Build and scale:
  
• Data pipelines for structured and unstructured AEC data
  
• Model training, validation, and deployment frameworks
  
• Feedback loops for continuous model improvement
  
• Ensure governance, data quality, and compliance across AI systems
  

Workflow Optimization & Automation

• Enhance AEC workflows using automation in:
  
• Model coordination and validation
  
• Quantity take-offs and estimation
  
• Construction planning and reporting
  
• Identify inefficiencies in AEC processes and apply AI for optimization
  

Cross-functional Collaboration

• Work closely with data scientists, ML engineers, BIM specialists, and software engineers
  
• Partner with architects, civil engineers, contractors, and project managers to validate real-world use cases
  
• Collaborate with enterprise IT teams to enable integration with ERP, GIS, and project management systems
  

Metrics & Performance

• Define and track KPIs such as:
  
• Model accuracy and performance
  
• Reduction in project risks and delays
  
• Improvement in productivity and cost efficiency
  
• Adoption of AI-driven features
  

Mandatory Skills / Qualifications

• 10+ years of product management experience, with exposure to AI/ML-based products and platforms
  
• Strong domain experience in AEC, BIM, construction technology, or infrastructure platforms
  
• Proven ability to deliver data-driven and AI-powered products at scale
  

Technical Expertise

• Strong understanding of:
  
• Machine learning concepts (supervised, unsupervised, deep learning)
  
• Computer vision and NLP applications relevant to AEC
  
• Data engineering and ML lifecycle (training, deployment, monitoring)
  
• Familiarity with BIM technologies and workflows:
  
• Model coordination, clash detection, and lifecycle management
  
• Data formats such as IFC, RVT, COBie
  

Domain Knowledge

• Deep understanding of:
  
• Design-to-construction lifecycle
  
• Project planning, scheduling, and cost management
  
• AEC collaboration workflows and Common Data Environments (CDE)
  

Execution Skills

• Strong problem-solving and analytical mindset
  
• Experience translating complex technical concepts into customer-centric solutions
  
• Ability to manage cross-functional teams and stakeholders
  

Nice to Have

• Experience with BIM tools such as Autodesk Revit, Navisworks, BIM 360 / Autodesk Construction Cloud, Bentley, Trimble
  
• Exposure to:
  
• Digital twins and smart infrastructure
  
• 4D/5D BIM (schedule and cost integration)
  
• IoT and sensor data integration in construction
  
• Background in civil engineering, architecture, construction management, or related fields
  
• Experience building AI for real-world physical environments (e.g., construction sites, infrastructure)
  
• Familiarity with cloud platforms (Azure, AWS, GCP) for ML deployment
  

Success Metrics

• Successful delivery of AI-driven BIM and AEC product capabilities
  
• Reduction in project delays, rework, and cost overruns
  
• Improved design quality and coordination efficiency
  
• Increased adoption of AI-powered features by AEC stakeholders
  
• Measurable gains in productivity and automation across workflows
  
• Scalable deployment of ML models across multiple projects or customers
  

Impact of the Role