Doxel

Doxel

Doxel revolutionizes construction progress tracking with AI and machine learning, providing executives with actionable insights and simplifying field operations.

Construction & Engineering
51-250
Founded 2016
$56M raised

Description

  • Lead the design and development of full-stack applications for project management, commissioning workflows, and field data capture.
  • Build web and mobile tools for uploading videos, images, structured forms, IoT readings, and issue documentation.
  • Develop intuitive, high-performance user interfaces that handle complex data streams and large-scale datasets.
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale.
  • Collaborate with backend, CV/ML, product, design, and 3D visualization teams to deliver end-to-end features.
  • Drive engineering best practices for testing, reliability, and performance optimization across full-stack and mobile systems.
  • Mentor engineers, establish standards, review architecture, and support high-velocity execution.
  • Contribute to technical planning, feature roadmaps, and long-term architectural decisions.
  • Champion usability and field readiness for tools used in challenging real-world construction environments.

Requirements

  • 10+ years of experience building and shipping full-stack web and mobile applications.
  • Strong experience with modern full-stack frameworks such as Nuxt.js or Next.js, or similar.
  • Strong backend engineering experience with TypeScript, Python, or Java, including API development.
  • Experience architecting applications that handle large-scale multimodal datasets such as 3D components, videos, and images, and/or IoT data inputs.
  • Deep experience building UX for field-facing or operationally critical workflows.
  • Strong familiarity with cloud environments such as AWS, GCP, or Azure and containerized infrastructure.
  • Experience designing domain-driven data models and working with OLTP/OLAP systems.
  • Prior experience leading or mentoring small engineering teams.
  • Preferred experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery.
  • Preferred background with offline-capable architectures and mobile-first data collection tools.
  • Preferred experience with 3D visualization using three.js, geospatial data, or computer-vision-powered experiences.
  • Preferred exposure to ML/AI-driven feature development.
  • Preferred comfort with CI/CD pipelines, observability tooling, and automated testing best practices.

Benefits

  • Competitive base salary of $200,000 - $250,000 a year.
  • Equity package.
  • Remote-first culture for most roles.
  • Comprehensive health insurance, including medical, dental, and vision coverage.
  • Home office stipend.
  • Monthly allowance for cell phone and internet.
  • Flexible PTO, generous company holiday policy, and unlimited sick days.

Interested in this position?

Apply directly on the company website

Apply Now

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