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Doxel

AI-powered construction project controls platform

Director of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Bachelor’s degree or higher in Electrical Engineering, Computer Science, Mathematics, or related technical field
  • 5+ years of managing managers experience
  • 10+ years of engineering leadership, including building large-scale customer-facing products
  • Technical depth in operations engineering (or similar), big data pipelines, and AI/ML
  • Experience building products using AI/ML

Responsibilities

  • Manage multiple teams responsible for transforming large raw data inputs into enriched data that powers the core product
  • Act as a technical leader, setting the vision for the full-stack architecture
  • Partner closely with product managers, operations managers, designers, and customer success to design and deliver new functionality at scale
  • Organize and grow the team to meet business needs
  • Help team members progress on their individual career paths
  • Execute on strategic initiatives pragmatically, cross-functional planning and execution of strategic priorities
  • Create a technical roadmap and resource plan
  • Grow the team with a high hiring bar and onboarding new team members
  • Grow people through formal and informal feedback and career growth plans
  • Build a strong team culture
  • Contribute to business strategy with an engineering perspective
  • Implement processes and technologies that optimize velocity, including AI tools

Desired Qualifications

  • Experience with computer vision and/or video processing
  • Domain experience/knowledge in construction

About the Company

Doxel

AI-powered construction project controls platform

Doxel provides an AI-powered project controls platform for construction that helps prevent budget overruns and schedule delays. Site crews wear a 360-degree camera on a hard hat, and its AI analyzes the footage to quantify installed materials across 80+ construction stages, then compares results to BIM models and the project schedule to generate objective progress measurements and risk insights. It differentiates itself with automated on-site reality capture tightly integrated with BIM and scheduling, offered on a subscription basis to large owners and general contractors. The goal is to make construction projects more predictable by turning on-site data into actionable insights that prevent overruns and delays.

Company size
51-200
Company stage
Series B
Total funding
$56.5M
Headquarters
Menlo Park, CA
Founded
2016

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