---
title: 'Senior Backend Software Engineer at Doxel'
canonical: 'https://feeny.ai/job/senior-backend-software-engineer-doxel-san-francisco-bay-area-ek4w5men6nzs'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Backend Software Engineer at Doxel

- **Company:** Doxel
- **Location:** San Francisco Bay Area, CA
- **Compensation:** $175k–$220k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-18
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/doxel/1cd32e4c-9c21-4c86-ab89-d0fb23676b7e

## Job description

Construction is the 2nd largest industry in the world (4x the size of SaaS!). But unlike software (with observability platforms such as AppDynamics and Datadog), construction teams lack automated feedback loops to help projects stay on schedule and on budget.  Without this observability, construction wastes a whopping $3T per year because glitches aren’t detected fast enough to recover.

Doxel AI exists to bring computer vision to construction, so the industry can deliver what society needs to thrive. From hospitals to data centers, from foreman to VPs of construction, teams use Doxel to make better decisions everyday. In fact, Doxel has contributed to the construction of the facilities that provide many of the products and services you use everyday.

We have classic computer vision, deep learning ML object detection, a low-latency 3D three.js web app, a complex data pipeline powering it all in the background. We’re building out new workflows, analytics dashboards, and forecasting engines.

We’re at an exciting stage of scale as we build upon our growing market momentum. Our software is trusted by Shell Oil, Genentech, HCA healthcare, Kaiser, Turner, Layton and several others. Join us in bringing AI to construction!

## The Role

As a backend 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 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.

## What You'll Do

- Design and developing services and pipelines that support rapid data ingestion, processing, and review at enterprise scale
- Design and develop services that enable realtime collaboration and data-gathering in the field
- Build AI based features that are incorporated into our product
- Collaborate cross-functionally with generalist and specialist engineers, Product, Design, Customer Success, and Operations to deliver seamless endt o-end features

What Success Looks Like

- Managing individual project priorities, deadlines and deliverables
- Successfully launching and optimizing new user-facing features in Doxel’s products
- Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
- Understanding our customers and championing their priorities

## What You Bring

- 8+ years of experience building and shipping backend systems in an SOA and/or EDA environment
- Expertise with modern backend technologies and infrastructure, such as Function as a Service and Infrastructure as Code
- Expertise in data processing and stream technologies
- Expertise in various database and data storage technologies
- Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure

## Preferred

- Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
- Experience with 3D visualization or computer-vision-powered experiences
- Exposure to ML/AI-driven feature development
- Comfort with CI/CD pipelines, observability tooling, and automated testing best practices

Doxel provides comprehensive health/dental/vision benefits for employees and their families including an Unlimited PTO policy, a 401(k) program, and a flexible work environment among other benefits. Doxel is an equal opportunity employer and actively seeks diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

## About Doxel

## Company Overview
- **One-liner**: Computer vision powered observability for construction, providing automated progress tracking to keep projects on schedule and budget.
- **Entity Type**: Private (Series B, $56.5M total funding)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2015 (per company site; LinkedIn reports 2016)
- **Founders**: Saurabh Ladha (CEO)

## Core Business
- **Primary industry**: Construction technology (AI-powered project controls)
- **Target customers**: B2B – general contractors, data center developers, healthcare, and industrial construction firms (18 of top 30 GCs, 14 of top 20 data center developers, 3 of 4 hyperscalers)
- **Mission**: “Help project teams stay on track in the face of constant change” by delivering objective, actionable data that keeps construction projects on schedule and budget.

## Products & Services
- **Doxel Platform**: An automated construction progress tracking SaaS solution that uses computer vision to contextualize site, BIM, schedule, and budget data. Provides real-time observability, machine-generated risk analysis, and predictions to prevent delays, over-billing, rework, and trade stacking.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$56.5M** across four rounds (Seed, Series A, Series B, Pre-Seed)
- **Notable Investors/Partners**: Insight Partners (Series B lead), Andreessen Horowitz (Seed lead), Amplo (Series A lead), Pear VC (Pre-Seed)
- **Growth Signals**:
  - 3+ billion square feet of construction tracked
  - 100+ data center projects, 80+ healthcare projects
  - 2 of top 3 largest U.S. EV battery factories
  - Customers deliver projects 11% ahead of schedule with up to 16% savings on monthly cash flow
  - 95 employees (LinkedIn estimate), active hiring with 15 open positions

## Competitive Advantages
- **Unique differentiator**: Only complete automated progress tracking solution that fuses site data with BIM, schedule, and budget to provide an objective, single source of truth.
- **Hard-to-replicate moat**: Proprietary computer vision models trained on billions of square feet of construction data; deep integrations with top contractors and hyperscalers.
- **Backing by top-tier VCs** (Insight Partners, a16z) provides credibility and resources.

## Strategic Focus
- Expanding into high-growth verticals: data centers, healthcare, manufacturing (EV battery factories)
- Scaling AI-driven risk analysis and predictive capabilities
- Building out engineering and product teams, especially in AI, platform security, and construction AI workflows

## Why Work Here
- **Culture**: Values “motivated, curious, and creative people” who want to transform the construction industry. Emphasis on strategy, passion, and exceeding expectations.
- **Work model**: Hybrid and remote options available. HQ in Menlo Park, CA; roles also in Bengaluru (hybrid) and remote across the US (East Coast, Atlanta, etc.).
- **Perks**: Not extensively detailed, but Built In lists “Perks +” and the company offers a collaborative, mission-driven environment at the intersection of AI and construction.
- **Engineering culture**: Strong technical leadership (VP of Engineering from Amazon/Credit Karma, Chief Architect from high-scale systems) and a data-first approach.

## Sources
1. [doxel.ai/company](https://doxel.ai/company)
2. [doxel.ai/careers](https://doxel.ai/careers)
3. [jobs.lever.co/doxel](https://jobs.lever.co/doxel)
4. [linkedin.com/company/doxel-sr-autonomous-inc.-](https://linkedin.com/company/doxel-sr-autonomous-inc.-)
5. [builtin.com/company/doxel](https://builtin.com/company/doxel)

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