Staff Software Engineer, Doxel
Full Stack
$200-250k
+ Equity
Automated construction progress tracking
Open for applications
Automated construction progress tracking
101-200 employees
Open for applications
$200-250k
+ Equity
101-200 employees
Company mission
To empower construction teams with artificial intelligence-backed tools to create better products, more efficiently.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale
- You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers
- You’ll 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, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences
- You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices
- 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
- What Success Looks Like
- 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 Doxel’s applications ecosystem
- Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
Our take
With computer-vision-powered predictive analytics, Doxel helps construction teams see what's really happening on site, not weeks later in a spreadsheet. Its software captures site imagery, analyses it's against building information models, budgets, schedules and pay application data, and turns that into clear, actionable insights.
This matters in an industry where more than 90% of large projects urn over budget or behind schedule. And while there's no shortage of dashboards in construction, Doxel's edge has always been in its forward-looking insights. Now its doubling down on that positioning with an enterprise agreement with Stream Data Centers, bringing its AI-powered progress tracking across Stream's data centre developments. So, by automatically visualizing the status of every component on site, Doxel aims to helpo teams avoid reowrk, reduce maual reporting and catch bottlenecks early.
The company has already worked with major organizations including Kaiser Permanente and Pennsylvania Chemicals, and this latest enterprise rollout signals growing momentum. As global investment in AI and digital infrastructure accelerates, the pressure to deliver complex builds quickly (and without costly surprises) is only increasing. And Doxel is betting that objective, AI-driven progress tracking will become less of a nice-to-have and more of standard tool on every major job site.
Steph
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$40m
SERIES B
Feb 2020
$12m
SERIES A
Total funding: $56.5m
Company HQ
Menlo Park, CA
Leadership
Saurabh Ladha
(Founder & CEO)Saurabh founded Doxel in 2016 and has served as the CEO since.
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