- Salary
- $170k – $210k/yr
- Location
- Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- People
- Seniority
- Senior
- Source
- Lever
Description
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
You'll build and run the core people processes that keep our team supported and growing: how we onboard and offboard, how we manage performance and career growth, and how we recognize great work. You'll also own the implementation of our HRIS (Rippling), making sure it's configured to support the team as we scale.
This is a hands-on execution role — you'll be the one actually running these processes day to day, not just designing them from a distance. You'll use AI tools to optimize and streamline these processes, track outcomes compliantly, and run more efficiently as we scale.
Skills
Computer Vision
