---
title: 'Marketing Lead at Rabot'
canonical: 'https://feeny.ai/job/marketing-lead-rabot-arlington-yrtsr80gyz4w'
type: 'job'
last_seen: '2026-09-15'
---

# Marketing Lead at Rabot

- **Company:** Rabot
- **Location:** Arlington, VA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-05
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/rabot/8b3f1bbd-c37d-41f9-908b-abcdbc6aed43

## 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 someone to own marketing.

## The role

You'd be our first dedicated marketing hire. The foundations exist: positioning, messaging, brand, infrastructure. The founding team built those. What's missing is someone whose full-time job is turning all of that into pipeline. You'll report to a co-founder and work with sales, product, and leadership directly. You'll have budget and tools. We care about what you produce, not how many years you've been producing it.

In-person in Arlington, TX. Not remote.

## What you'll do

- Figure out how to talk about Rabot in a way that lands with VP Ops and fulfillment leaders. Own the positioning and keep it consistent.
- Build and run demand gen. Paid, organic, events, partnerships, outbound support. Whatever gets qualified conversations, measured by what actually converts.
- Write case studies, product narratives, landing pages, email sequences. Stuff our buyers actually read.
- Use AI tools heavily. You'll have access to them and we expect you to use them for content, research, data analysis, campaign work. You decide what's good; the tools handle throughput.
- Build processes that repeat. This isn't a series of one-off campaigns.
- Own the website. It should convert, not just look nice.
- Support co-marketing with our distribution partners. Joint content, channel enablement.
- Set up attribution, track pipeline contribution and conversion rates. Know your numbers.
- Talk to sales, sit in on customer calls, read support tickets. Use what you learn.

## Who you are

- You learn fast. Maybe you don't have a decade of B2B marketing experience, but you've picked up hard things quickly before. Could be a first job, a side project, freelance, or something you built yourself.
- You write well. Clear and direct. You can explain a technical product to someone who isn't technical without making it sound dumb. This matters more than anything else for this role.
- You use AI tools every day, not as a gimmick but as how you actually get work done.
- You'd rather ship something rough and fix it than plan for a month. You're fine deciding with incomplete info.
- When you don't know how to do something, you figure it out instead of waiting to be taught.
- You think about systems, not just individual pieces of content.
- You want to own a function, not execute someone else's playbook.

## Nice to have

- You've marketed technical products to operations or industrial buyers. You know what it's like to sell something abstract to someone concrete.
- You've built marketing workflows with AI tools, Zapier, Make, or code.
- Some background in logistics, warehousing, fulfillment, or supply chain.
- Comfortable with analytics tools like GA4, Mixpanel, or SQL.
- You've built something from nothing before: a content brand, a newsletter, a side business, a marketing function at a startup.
- Comfortable with APIs and integrations. Not an engineer, but you can wire tools together.

## What we offer

- Base salary plus a quarterly performance bonus tied to pipeline and revenue. Bonus is uncapped.
- Equity. A real stake, not a token grant.
- You'd own marketing at a company with paying customers and a clear market.
- Direct access to founders.
- AI tools and a team that actually uses them internally.

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 to get paid based on what you build, this structure works.

How to apply Send us two things:

- One example of work you're proud of. Not a resume bullet. The actual work: a campaign, content you wrote, something you built. What was it, why did it work, what would you do differently?
- Pick any product (not Rabot) and write 3 headlines for a landing page targeting warehouse operations leaders. Show us how you think about copy.

Rabot is an equal opportunity employer.

## 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

## Other roles at Rabot

- [Applied Scientist](https://feeny.ai/job/applied-scientist-rabot-arlington-3034d0z0re0s) — Arlington, VA
- [Systems Engineer](https://feeny.ai/job/systems-engineer-rabot-arlington-naq45seycs1q) — Arlington, VA
- [Software Engineer](https://feeny.ai/job/software-engineer-rabot-arlington-dk71qywdq2g6) — Arlington, VA
- [Operations Lead](https://feeny.ai/job/operations-lead-rabot-arlington-nqb3d8dqpkgr) — Arlington, VA
- [Customer Success Lead](https://feeny.ai/job/customer-success-lead-rabot-united-states-42trn3g2ay3a) — United States
- [Marketing Lead](https://feeny.ai/job/marketing-lead-opslevel-toronto-jzy4rz14bav3) — Toronto, Canada
- [Marketing Lead](https://feeny.ai/job/marketing-lead-omaze-london-ryegdw27fsbc) — London, United Kingdom
- [Marketing Lead](https://feeny.ai/job/marketing-lead-the-cus-vancouver-4rxpddf46t34) — Vancouver, Canada
- [Marketing Lead](https://feeny.ai/job/marketing-lead-maincode-melbourne-ejevmh3kfx3n) — Melbourne, Australia
- [Marketing Lead](https://feeny.ai/job/marketing-lead-light-austin-z9tj2cwmf5qg) — Austin, TX