---
title: 'Software Engineer at Rabot'
canonical: 'https://feeny.ai/job/software-engineer-rabot-arlington-dk71qywdq2g6'
type: 'job'
last_seen: '2026-09-15'
---

# Software Engineer at Rabot

- **Company:** Rabot
- **Location:** Arlington, VA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-06
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/rabot/3e30baae-8d69-4dfd-bdca-76bc435fd0f7

## Job description

## About Rabot

Rabot builds vision AI for warehouse packing operations. Cameras watch the pack line, software figures out where things are slow or wrong, and operators get real-time feedback that actually changes how they work. Customers stick around because it measurably improves their output. We're venture-backed with distribution partnerships with major industry players. The product works. Now we need engineers to build what's next.

## The role

You'd work on the customer-facing product. The software that warehouse operators, managers, and executives interact with every day. Dashboards, real-time views, configuration, analytics, integrations. This is the layer between our AI and the people who use it.

The team is small. You'll ship features end to end: spec it out with product, build it, deploy it, and hear directly from customers whether it works. There's no handoff chain. You own your code from commit to production.

3+ years of experience required. We care less about where you worked and more about what you've built.

In-person in Arlington, TX. Not remote.

## What you'll do

- Build and ship features in the customer-facing product. Full stack: frontend, backend, cloud infrastructure.
- Work directly with product and customers to understand what needs to be built and why.
- Own what you ship. You deploy it, you monitor it, you fix it when it breaks.
- Write code that other people can read and maintain. The team is small and everyone touches everything.
- Improve the development and deployment pipeline as you go. CI/CD, testing, observability.
- Use AI tools in your workflow. We expect it. They're good at the boring parts.

## Who you are

- You have 3+ years of professional software engineering experience. You've shipped production software that real users depend on.
- You're strong across the stack. Not just tutorials. You've built and maintained real applications.
- You're comfortable with cloud infrastructure. Deploying, scaling, debugging production systems.
- You write clean code and you care about it, but you don't let perfect get in the way of shipped.
- You can work across the stack. Frontend one day, backend the next, infrastructure when it needs fixing.
- You communicate clearly. Small team means you talk to product, customers, and other engineers directly.
- You figure things out. When you hit something you haven't seen before, you dig in instead of waiting for help.

## Nice to have

- Experience building B2B SaaS products. You understand multi-tenant systems, customer configuration, and the difference between consumer and enterprise software.
- You've worked with real-time data or video/image pipelines.
- Background in or exposure to computer vision, AI/ML, or IoT systems.
- Experience with warehouse, logistics, or industrial software.
- You've worked at a startup before and know what shipping fast with a small team actually looks like.

## What we offer

- Base salary plus equity. A real stake, not a token grant.
- You'd build the product customers interact with every day at a company with clear traction.
- Direct access to founders and customers. Short feedback loops.
- AI tools and a team that uses them. We build AI products and we use AI to build them.
- A small team where your work is visible and your opinions matter.

Comp We want someone who bets on themselves. If you're optimizing purely for guaranteed base, this probably isn't the right fit. If you want equity in a company you can directly make better with your code, this structure works.

How to apply Send us two things:

- Something you've built that you're proud of. Could be a feature, a system, a side project, open source work. What was it, what decisions did you make, and what would you do differently?
- You're designing a dashboard that shows warehouse managers real-time packing performance across many stations. What's your approach to keeping it fast? Keep it under a page.

## About Rabot

## Company Overview
- **One-liner**: Rabot is a Vision AI company that builds AI-powered camera systems and software to optimize packing operations in e-commerce fulfillment warehouses.
- **Entity Type**: Private (Seed stage; total raised ~$8M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2018
- **Founders**: Isura Ranatunga (CEO) and Channa Ranatunga

## Core Business
- **Primary industry/industries**: Warehouse automation, supply chain technology, computer vision, e-commerce fulfillment
- **Target customers**: B2B – 3PLs, e-commerce brands, and Fortune 500 companies with in-house fulfillment operations; SMB to Enterprise
- **Mission or purpose statement**: Not publicly stated, but the platform focuses on “fulfillment operations platform powered by Vision AI” to improve accuracy, productivity, and visibility in packing.

## Products & Services
- **Rabot Core (the pack station system)**: AI-powered cameras and edge devices that capture and analyze every item packed in real time. Validates SKUs, quantities, barcodes, and OCR; flags errors via on-screen alerts and Andon lights. Includes digital photo/video archive of every packed order. ($99/station/month, hardware included as lease)
- **Rabot Pulse**: Operator-facing desktop app that embeds the WMS pack UI alongside work instructions, scan-to-ship workflows, and SOPs – reduces app-switching and accelerates new employee ramp-up (2x faster).
- **Rabot Ship (Beta)**: Multi-carrier shipping module with rate shopping, label printing, and cartonization optimization using vision AI data. 40+ carrier integrations.
- **Rabot Portal**: Web dashboard with role-based views for managers (operations analytics, admin console, video search, SOP management) and clients (fulfillment data, video, compliance metrics).
- **Rabot Connect**: Integration layer with 62+ WMS connectors via a sidecar architecture – no API changes or WMS modifications required. Compatible with systems like Manhattan, SAP EWM, Oracle WMS, NetSuite, ShipStation, etc.
- **Pricing Tiers**: Core ($99/station/month), Plus ($249/station/month), Enterprise (custom). All tiers include hardware lease, no CapEx.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding ~$8M (pre-seed $2M in 2022, seed ~$5M in 2024)
- **Notable Investors/Partners**: Newfund Capital, BootstrapLabs, Forum Ventures, Interlace Ventures, GFT Ventures, ValueStream Ventures; strategic partners: Ranpak (NYSE: PACK), Yusen Logistics, Amazon Industrial Innovation Fund, Lightly.ai, Fulfill.com
- **Growth Signals**: 
  - Processed over 113 million items, 22.7 million orders, 122+ billion frames analyzed, 3+ trillion AI detections (as of mid-2025)
  - Exclusive multi-year agreement with Ranpak under “Rabot by Ranpak” brand (Feb 2025)
  - Selected by Amazon’s $1B Industrial Innovation Fund as one of six startups for “Packaging Visibility”
  - Proven results: 99.9% order accuracy, up to 66% QA & support cost reduction, 33% productivity improvement, 95% reduction in order resolution time

## Competitive Advantages
- **Edge AI processing**: All data processed on secure edge devices on-site – no raw video leaves the warehouse, addressing security and latency concerns.
- **Sidecar architecture for WMS integrations**: 62+ connectors without requiring API changes or WMS modifications – a significant moat for onboarding legacy warehouses.
- **Hardware-included subscription model**: No upfront CapEx for customers, lowering barrier to adoption.
- **Patent-pending computer vision algorithms** tailored to pack station verification and fraud prevention.
- **Proven enterprise traction** with Fortune 500 companies and partnerships with major logistics players (Ranpak, Yusen, Amazon).

## Strategic Focus
- **Current priorities**: 
  - Expanding the “Rabot by Ranpak” brand and deepening the partnership to bundle Vision AI with sustainable packaging.
  - Scaling the multi-carrier shipping module (Ship) to drive more value from the station data.
  - Growing the customer base among 3PLs and large e-commerce brands through the Fulfill.com partnership and direct sales.
  - Improving AI model accuracy and reducing onboarding time (partnered with Lightly.ai for data curation).
- **Direction for growth**: Becoming the standard operating system for packing stations in fulfillment warehouses, then expanding into adjacent zones (receiving, picking) via vision AI.

## Why Work Here
- **Culture highlights**: Startup environment with a focus on real-world impact – the technology directly improves warehouse worker productivity and reduces waste. Co-founders bring deep experience from Apple Robotics and supply chain.
- **Remote/hybrid/office policy**: Not explicitly stated; likely hybrid given San Francisco HQ and “Designed in California, Built in Texas” manufacturing. The careers page lists open roles (likely engineering, operations).
- **Notable perks or engineering culture**: 
  - Work on cutting-edge edge AI and computer vision deployed in production at scale.
  - Opportunity to collaborate with industry leaders like Amazon, Ranpak, and Yusen.
  - Small team (typical for seed-stage startup) offering high ownership and impact.
  - Hardware + software stack: cameras, edge devices, cloud dashboard, and operator apps.

## Sources
1. [rabot.us](https://rabot.us/company/about-us/) – Company overview, funding, metrics, leadership
2. [rabot.us](https://rabot.us/careers/) – Careers page, additional company details
3. [rabot.us](https://rabot.us/) – Main site with product descriptions, pricing, case studies
4. [linkedin.com](https://www.linkedin.com/company/rabotinc) – LinkedIn company page (profile)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/rabot) – Active job listings

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