Full Stack Software Engineer, Doxel
$150-165k
Plus equity
Automated construction progress tracking
Open for applications
Automated construction progress tracking
101-200 employees
Open for applications
$150-165k
Plus 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
- 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
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 full stack engineer at Doxel, you will help define and build the next generation of our 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 help build 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
- 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
- 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
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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