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
  

Requirements

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