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