Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.
Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.
Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.
Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win.
Join us as we continue our journey to transform the $15T Construction Industry!
Your Day to Day
- Designing and developing full-stack applications powering project management, commissioning workflows, and data capture
- Building web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
- Developing intuitive, high-performance UIs that handle complex data streams and large-scale datasets
- Working on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
- Collaborate cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
What Success Looks Like
- Managing individual project priorities, deadlines and deliverables
- Designing and implementing new user-facing features in Doxel’s products
- Optimizing web applications to maximize speed and scale
- Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
- Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
- Championing usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
- 5+ years of experience building and shipping full-stack web and mobile applications
- Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
- Strong engineering experience with Typescript, Python or Java, and APIs
- Experience developing applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
- Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
- Experience working with a team to design domain-driven data models and working with OLTP/OLAP system
Preferred Experience
- Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
- Background with offline-capable architectures and mobile-first data collection tools
- Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
- Exposure to ML/AI-driven feature development.
- Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
- Competitive Base Salary + Equity Package
- Remote first culture (for most roles)
- Comprehensive Health Insurance (Medical, Dental, Vision)
- Home Office Stipend
- Monthly allowance for cell phone and internet
- Flexible PTO, generous company holiday policy, and unlimited sick days
$150,000 - $165,000 a year
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.