Staff Software Engineer, Full Stack

Doxel•San Francisco, CA

62d•$200,000 - $250,000•Remote

About The Position

Construction is the second-largest industry in the worldânearly 4x the size of SaaSâyet 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. Doxelâs 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 As a Lead Software Engineer, you will help define and build the next generation of Doxelâs project management, commissioning, and field-enablement toolsâsystems trusted by the worldâs largest general contractors and owners delivering mega-projects at unprecedented scale. Youâll design and deliver full-stack applications that handle massive volumes of complex field dataâincluding videos, images, structured forms, and IoT device outputsâand transform them into fast, intuitive workflows for both office teams and field workers. Youâll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter. As a technical leader, youâll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxelâs AI and data systems into beautifully executed user experiences. Youâll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices.

Requirements

10+ years of experience building and shipping full-stack web and mobile applications
Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, 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 (3d components, videos, images) and/or IoT data inputs
Deep experience building UX for field-facing or operationally critical workflows
Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
Skills in designing domain-driven data models and working with OLTP/OLAP systems
Prior experience leading or mentoring small engineering teams

Nice To Haves

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

Responsibilities

You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
Develop intuitive, high-performance UIs 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
Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxelâs applications ecosystem
Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments