---
title: 'Staff Platform Engineer at Ironsite AI'
canonical: 'https://feeny.ai/job/staff-platform-engineer-ironsite-ai-san-francisco-3nj4az685rnc'
type: 'job'
last_seen: '2026-10-16'
---

# Staff Platform Engineer at Ironsite AI

- **Company:** Ironsite AI
- **Location:** San Francisco, CA
- **Compensation:** $275k–$325k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.gem.com/ironsite-ai/am9icG9zdDqoKgQWACMLbLluhzdTO-cQ

## Job description

## About Ironsite

Ironsite is building the intelligence layer for the physical world. We design our own wearable hardware, deploy it alongside craft workers, and transform a shift's footage into a next-morning report. Our internal team and purpose-built models label the data overnight and deliver actionable insights to superintendents by 5 AM.

We are accelerating the speed, efficiency, and predictability of construction, especially for complex, mission-critical infrastructure projects, including data centers, LNG facilities, sports stadiums, hospitals, and other large-scale developments, by training AI models on egocentric construction footage and labor productivity data. We are built with a pro-worker philosophy at our core: we believe technology should empower the workforce, not replace it. We're working to give craft workers and project leaders better visibility into what's happening on-site, while creating a system where the reality of construction and the chaos of each day are finally available to the people running the project.

Ironsite is deployed across several of the largest active construction projects in the country. To date, we've captured more than 100,000 hours of construction footage across seven states, now process thousands of hours of site activity every day, and maintain a worker opt-out rate below two percent. This is enabled by a workforce-first architecture that anonymizes devices, captures no audio, and never releases raw video.

Ironsite is backed by leading investors (8VC, South Park Commons, Saga Ventures) and prominent operators across technology and construction, including Eric Schmidt, Jeff Dean, Jeff Rothschild, Mark Leslie, Scott Wu, Eric Glyman, Karim Atiyeh, Russell Kaplan, and others, alongside over a dozen construction industry operators who have joined us as partners in building this.

Longer term, we believe Ironsite is the foundation for what construction becomes in the next decade. The systems we're building will be the operating system for how the physical world gets built. We see a future where craft workers are more valued, more visible, and better paid for the skill they bring, and where the industry finally has the intelligence layer that makes autonomous construction possible. Both start with the same foundation.

## The Role

We're hiring an exceptional Staff Platform Engineer to help build the Ironsite platform, the product surface that turns our video data into something construction teams act on every day.

You'll own the technical foundation for the dashboards project leaders open at 5 AM, the labor-management tools superintendents run their entire jobsite on, the mobile experience craft workers carry in their pocket, and the integration layer that connects Ironsite to the software the industry already lives in. This is the work that decides whether Ironsite becomes the operating system for the field or another tool competing for attention.

You'll operate with real ownership over critical initiatives that impact tens of thousands of craft workers and dozens of the largest contractors in the country. This is a senior IC seat with real scope, working closely with our CTO and technical leadership on the architectural decisions that shape what Ironsite becomes over the next few years.

## What You'll Build

- Labor Management. The tools superintendents will run their entire jobsite on: Time & Attendance, Crew Management, Change Order Management, Progress Tracking & As-Builts, and Labor Planning. This is the daily-driver surface that decides whether Ironsite becomes the system of record for the field.
- Craft Worker Mobile Experience. The worker-facing mobile web app that turns Ironsite from something workers wear into something they use daily — profiles, stats, achievements, badges, the rewards marketplace, exportable resumes, and multi-language daily notifications with SMS delivery for workers in the field. This is where our pro-workforce philosophy translates into product.
- Integrations & API. The connectors that let Ironsite plug into the existing construction and HR stack, including Procore, Autodesk, Trimble, and the long tail of ERP and payroll systems, along with the API infrastructure underneath them. Done right, this is what makes Ironsite the ground-truth layer feeding every other system on a jobsite; done wrong, it's a bottleneck on every deployment.
- Ground Truth Tooling. The internal tools that power our labeling operation and feed the AI team's data engine, including the Tagger Portal, GT dashboards, admin tools, and quality tooling that keep hundreds of subject-matter experts labeling thousands of hours of video every night at a bar high enough for our research team to train and evaluate on.

Technical Challenges You'll Solve

- Turning raw, high-volume model output into insights that have to be right by 5 AM. Every night, our system processes thousands of hours of jobsite video into production reports that superintendents open before the crews arrive on site. That deadline is real, the reports have to be trustworthy, and the underlying model outputs are messy at the scale we operate. You'll own the data infrastructure and reporting layer that makes this happen without fail.
- Building the integration layer for an industry running on legacy tools. Ironsite has to interoperate with Procore, Autodesk, Trimble, and a long tail of ERP and payroll systems that are decades old and often internally inconsistent. This isn't a check-the-box integration project. It's designing the architecture that lets Ironsite pull ground-truth data from and push insights back into systems the industry actually uses, while insulating our core platform from the chaos of those interfaces.
- Scaling internal tooling for a labeling operation that never stops. Our labeling team labels thousands of hours of video every night to feed the AI team's training and evaluation pipelines. As the operation grows, the tooling has to keep the workforce fast, the data clean, and the quality bar high enough that our researchers can trust what they're training on.

## What We're Looking For

Technical Excellence

- Deep full-stack expertise, comfortable owning a system end-to-end from the browser to the database and everything in between. You've made real judgment calls on modern frontend (React/TypeScript), backend services (Node.js, PostgreSQL, Redis), and cloud infrastructure (AWS), and you know when each tool is the right one and when it isn't.
- A strong track record with API design, third-party integrations, and real-time data and analytics surfaces — specifically the ability to build systems where correctness, performance, and clarity for downstream teams all matter at the same time.
- Experience shipping web applications at scale, in production, with the kind of reliability construction customers won't tolerate the absence of.
- Systems thinking that spans end-to-end product architecture and cross-team integration. You care as much about the seams between systems as the systems themselves.
- Typically 8+ years of engineering experience, with meaningful time spent operating at a Staff/Principal level at a company you're proud of.

## Preferred Qualifications

- 8+ years of engineering experience, with at least 3 spent operating at Staff/Principal level at a company you're proud of.
- Deep experience owning and evolving core platform infrastructure including data pipelines, backend services, developer tooling, or the systems everything else at the company runs on.
- A track record of shipping systems that scaled by orders of magnitude in throughput, users, or data volume, and doing so without over-engineering early or accumulating dead architectural weight late.
- Strong opinions about system design tradeoffs, and the judgment to know when to invest in abstraction vs. when to ship the boring solution that works today.
- A history of raising the bar around you, including mentoring senior engineers, driving technical decisions through influence rather than authority, and making the teams you're on materially better.
- Comfort operating in environments where the right answer isn't obvious yet.
- Genuine excitement about industries that have been underserved by software, and interest in becoming the person who builds the infrastructure the physical world runs on.
- A background in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or the equivalent hands-on experience.

Location, Compensation, & Perks

- San Francisco Bay Area (on-site)
- Base salary: $275k-$325k per year, commensurate with experience
- Meaningful founding-team equity.
- Full benefits including health, dental, vision, and 401(k) with 6% match
- Daily catered lunch
- Office in San Francisco, next to Oracle Park and the Caltrain

Final compensation is determined by experience, location, and level.

## About Ironsite AI

## Company Overview
- **One-liner**: Ironsite AI equips construction workers with wearable cameras and AI vision models to drive on-site productivity, safety, and training.
- **Entity Type**: Private (Pre-Seed)
- **Headquarters**: San Francisco, California, United States (with an office in New York)
- **Founded**: 2025
- **Founders**: Charu Thomas (Co-Founder, CTO), Okie Jon Williams (Head of Hardware Research), and others

## Core Business
- Primary industry: Construction Technology (Contech) / Data Infrastructure and Analytics
- Target customers: General contractors, construction superintendents, and self-performing contractors (B2B Enterprise)
- Mission statement: To use spatial intelligence and AI to help humans do what they do best: build.

## Products & Services
- **Ironsite Wearable Camera & Platform**: A ruggedized wearable hard hat-mounted camera that captures real-time job site activity. The platform applies AI vision-language models (VLMs) to analyze worker behavior, identify safety hazards, track productivity metrics, and optimize labor allocation. The offering includes a mobile web experience for workers to track achievements, attendance, and rewards, along with a cloud dashboard for superintendents and project managers.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (Pre-Seed stage)
- **Key Metric**: Total Funding of a Pre-Seed round (raised in 2024) from Transpose Platform. Employee headcount of 63 (as of mid-2026).
- **Notable Investors/Partners**: Transpose Platform (lead investor). The company has also hired talent from major construction firms like Brasfield & Gorrie and DPR Construction, indicating strong industry partnerships or recruitment.
- **Growth Signals**: Rapid headcount growth (+2.3% monthly). The company is actively scaling from roughly 40 to 200 employees and has plans to scale device deployment from thousands to hundreds of thousands of units. The company has already built a strong technical team with alumni from companies like Amazon, NVIDIA, and Etched.

## Competitive Advantages
- **Hardware + Software Moats**: By building its own ruggedized wearable cameras, Ironsite controls the data capture pipeline, creating a unique dataset for training its vision models.
- **Vertical-Specific AI**: The company focuses exclusively on construction, allowing its VLMs to develop deep, expert-level perception of construction workflows, materials, and safety hazards—a niche that general-purpose computer vision companies cannot easily replicate.
- **On-Site Embedding**: Engineers and product teams regularly embed on active jobsites, creating a tight feedback loop between field operations and product development, which is a rare and powerful moat in the construction industry.

## Strategic Focus
- **Scaling Hardware & AI**: The primary focus is scaling manufacturing of wearable devices and advancing their vision-language models to handle long-context video reasoning and low-connectivity environments.
- **Enterprise Integration**: Building deep integrations with existing construction management platforms (Procore, Autodesk, Trimble), payroll, and ERP systems to become a seamless part of a contractor’s tech stack.
- **Hiring for Scale**: Aggressively hiring across engineering, AI research, hardware, and operations to grow from ~40 to 200 employees.

## Why Work Here
- **High-Impact AI at the Edge**: The chance to work on technically challenging problems—petabyte-scale video ingestion, on-device AI inference, and real-time multimodal data processing—from day one.
- **Hybrid Work Model**: The company uses a hybrid workplace, with employees engaging in a combination of remote and on-site work. On-site time is expected, particularly for roles involving hardware or on-site construction collaboration.
- **Culture of Shared Ambition**: Described as “an incredibly ambitious group of construction superintendents, AI researchers, hardware tinkerers, and people from all walks of life.” There is a strong emphasis on hands-on, cross-functional collaboration.
- **Fast-Growth Environment**: The company is in a high-growth phase (doubling headcount), offering significant ownership, career growth, and impact for early hires.
- **Meaningful Mission**: The work directly improves the safety, efficiency, and quality of life for construction workers, a large and often underserved workforce.

## Sources
1. [linkedin.com](https://linkedin.com/company/ironsite)
2. [builtin.com](https://builtin.com/company/ironsite)
3. [indexed.vc](https://indexed.vc/companies/ironsite-ai)
4. [jobs.gem.com](https://jobs.gem.com/ironsite-ai)
5. [builtin.com - Jobs](https://builtin.com/company/ironsite/jobs)

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