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!
The Role
We are seeking a Construction Analytics Solutions Engineer to join our Customer Success team. In this role, you will embed with our customers — leading general contractors and owner’s reps — to integrate Doxel’s AI-captured progress data with customer project data. You will refine reporting engines and automate executive-ready dashboards and reporting that drive transparency and decision-making for the most complex construction projects in the world
You will play a key role in supporting and improving Doxel's internal data infrastructure, helping centralize reporting metrics from disparate data sources, standardize data models, and ensure consistent, reliable delivery of reports across the organization. You will combine deep field experience with strong data engineering skills to design and deploy solutions that scale across jobsites. You’ll travel to customer offices and trailers, collaborate closely with project teams, and deliver value from day one.