---
title: 'Technical Architect at Boon Technologies, Inc.'
canonical: 'https://feeny.ai/job/technical-architect-boon-technologies-inc-united-states-exw9v07zn4cv'
type: 'job'
last_seen: '2026-10-19'
---

# Technical Architect at Boon Technologies, Inc.

- **Company:** Boon Technologies, Inc.
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/boon/98f6a0e3-4bbc-4d58-9701-190de643acbb

## Job description

## About Boon

Boon is the professional AI platform built specifically for construction. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash. Boon is backed by leading Silicon Valley venture capitalists.

Our AI agents embed directly into existing workflows, from preconstruction estimating to bid management. They automate the repetitive tasks that drain time and margins while surfacing the insights leaders need to make faster and more confident decisions.

The result is measurable impact. Teams move faster, bids are submitted sooner, win rates increase, and costs are reduced. Boon enables construction companies to build more, generate more revenue, and grow with confidence.

## About the Role

Boon AI is building the agentic operating system for construction preconstruction — the layer that reads blueprints, specs, and bid documents, and does the estimator's work with them. Our platform spans a Rails product monolith, Python computer-vision services (DINOv3/SAM-class vision models reading drawings), an LLM agent runtime orchestrating multi-step construction workflows, and a model/eval infrastructure that keeps accuracy honest. We're live with GCs and subs across the country, shipping daily, and scaling from thousands to hundreds of thousands of drawings per month. The Technical Architect sits across every one of those surfaces and makes sure the system we're building this quarter is the system we can still build on three years from now.

In this role, you will:

- Own the end-to-end technical architecture across the Rails product app, Python ML/CV services, agent SDK layer, and data platform — including the hard tradeoffs between enterprise customer requirements and shipping speed
- Drive scalability, reliability, and cost architecture of our computer vision/LLM/VLM inference pipelines as we scale blueprint throughput by 100×
- Set the technical direction for our model infrastructure — vision models, LLM orchestration, agent runtime, MLflow registry, eval harnesses, and GPU budget
- Lead architectural review, raise the engineering bar through code review and design docs, and mentor senior engineers on cross-system tradeoffs
- Partner with the CEO and product on the 12–18 month technical roadmap: what we build in-house, what we buy, what we deprecate, and when to invest in platform vs. features
- Still write code — this is a working architect role; you'll be in incident response, PR review, and the hardest technical problems on a weekly basis

You’re a Great Fit If:

- You've shipped production systems that handle messy real-world input — documents, PDFs, images, OCR, user-generated chaos — not just clean API-to-API services
- You have strong opinions on monolith vs. services, model-in-the-loop UX, when to add complexity, and when "just add another microservice" is the wrong answer
- You've built or deeply operated computer vision or LLM/agent systems in production, and you understand eval infrastructure as a first-class engineering discipline
- You move fast without breaking the foundations — comfortable shipping daily, comfortable saying "stop, we need to rebuild this part" and similarly “stop, we should NOT reinvent the wheel and use battle-tested open-source/paid solutions”
- You thrive in flat, direct, high-velocity teams where the architect sets the technical path and defends it with code and data, not slides
- Bonus: construction, AEC, or other vertical-SaaS experience; or you've taken a company from Series A to C technically
- Culturally, you embody working as “one team” and strive to “get things done”, instead of passing the buck around

Requirements for the role:

- 10+ years building production software; 3+ years as senior staff, principal, architect, or CTO at a product company
- Deep experience with at least two of: large Rails or Python monoliths, computer vision pipelines in production, LLM / agent systems at scale, data-intensive B2B SaaS
- Hands-on fluency with cloud infrastructure (AWS and/or GCP), PostgreSQL at scale, background job systems (RabbitMQ, SideKiq), and modern deployment practices
- Track record of leading architectural decisions that held up under 10×+ growth
- Has written and shipped production code in the last 6 months — and plans to keep doing so
- Familiar with some SRE (Service Reliability) and DevOps - Kubernetes, Helm, CI/CD and ability to drive and collaborate with Boon’s dedicated SRE teammates.

## Compensation

At Boon, we want to attract and retain the best employees and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. This estimate can vary based on the above mentioned factors, so the actual starting annual base salary may be above or below this range. A Boon employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company.

Boon Is An Equal Opportunity Employer As an equal-opportunity employer, Boon is committed to providing employment opportunities to all individuals. All applicants for positions at Boon will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

## About Boon Technologies, Inc.

## Company Overview
- **One-liner**: Boon is an AI-powered platform that automates preconstruction workflows—from blueprint takeoff to bid management—for general contractors and subcontractors.
- **Entity Type**: Private (Startup)
- **Headquarters**: San Mateo, California, USA
- **Founded**: 2023
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: Construction technology, Artificial intelligence (AI agents)
- **Target customers**: B2B – general contractors and subcontractors (initially focused on electrical contractors)
- **Mission/purpose statement**: “The intelligence layer for construction” – to streamline preconstruction processes so teams can focus on winning work.

## Products & Services
- **Takeoff**: AI-powered instant volume and material/labor quantity calculations from blueprints, promising a 90% reduction in takeoff time.
- **Bid Leveling**: Side-by-side vendor comparison to select the best subcontractor proposals.
- **Clash Detection**: Flags conflicts in specifications before they become change orders, using drawing analysis.
- **Bid Summary**: Converts complex specs into bid-ready summaries in minutes.
- **Bid Tracker**: Compares and analyzes subcontractor proposals in seconds.

All offerings are AI agents embedded in a single platform, delivered as a SaaS solution.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric (Private)**: Total funding not publicly available; key operational metrics include **$4.5B+** of building area processed, **14M+ sq ft** analyzed, and **66,000+** drawing pages read (self-reported on the company website).
- **Notable Investors/Partners**: Not publicly listed. The website highlights “trusted by leading electrical contractors and general contractors across North America” and names **Marathon Electrical** (VP of Preconstruction Bradley Brock) as a customer.
- **Growth Signals**: Founded in 2023, the company reports strong traction with enterprises using its AI for real-world preconstruction. Employee headcount is **27** (per Built In). The company has multiple office locations and maintains an active product development footprint (open-source repos on GitHub).

## Competitive Advantages
- **Domain-specific AI models**: Purpose-built for construction preconstruction (takeoff, estimating, clash detection), not generic AI.
- **Integration ecosystem**: The platform claims “the industry’s broadest integration ecosystem” for workflow automation.
- **Experienced team**: “150+ years of combined experience” in construction and AI.
- **Customer validation**: Real-world adoption by major contractors with measurable time savings (20+ hours/week saved on repetitive tasks, 32% cost overruns avoided).

## Strategic Focus
Boon is focused on scaling its AI agent platform across the construction lifecycle, starting with preconstruction. Current priorities include expanding the product suite (e.g., bid leveling, clash detection), onboarding more subcontractor and general contractor customers, and deepening its integration ecosystem.

## Why Work Here
- **Engineering culture**: The team builds AI-powered tools for a critical industry. The GitHub organization ([github.com/getboon](https://github.com/getboon)) shows open‑source side projects (e.g., `ruby_llm`, `openclaw`) indicating a culture of AI experimentation and development in Ruby/TypeScript.
- **Work environment**: The company has **7 locations** and employees work from physical offices (in‑office policy), but typical time on-site is listed as “None” on Built In – likely a flexible in‑office arrangement. Job postings appear for roles like Computer Vision Applied Research Scientist.
- **Perks & culture**: Not detailed in public sources, but the small team size (27) suggests a collaborative, early‑stage startup environment with direct impact.

## Sources
1. [getboon.ai](https://www.getboon.ai/) – Official website  
2. [Built In profile](https://builtin.com/company/boon-getboonai) – Company overview, headcount, offices, year founded  
3. [GitHub organization](https://github.com/getboon) – Repositories, engineering activity  
4. [Ashby careers page](https://jobs.ashbyhq.com/boon) – Job listings

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