
BackOps AI is an AI logistics companion that automates operational tasks for supply chain and logistics companies. It acts as an AI-powered ops team, handling tasks, resolving customer issues, and suggesting process improvements. The platform connects to over 100 WMS platforms, communication channels, and portals to ingest data. Users configure the system by feeding it their Standard Operating Procedures (SOPs) in various formats (PDFs, text, MP3s). BackOps AI then automates routine tasks, escalates complex issues to humans, and resolves end-to-end issues by following SOPs. It can handle order entry, claims handling, order status inquiries, reshipment requests, quote requests, and invoice requests. The company emphasizes its "human in the loop" approach, allowing for team oversight and approvals. BackOps AI is built by a team with experience from major tech companies like Amazon, Apple, and Meta, focusing on solving complex logistics problems and edge cases. Their business model is primarily SaaS, offering automation that integrates with existing tech stacks.

BackOps AI is an AI logistics companion that automates operational tasks for supply chain and logistics companies. It acts as an AI-powered ops team, handling tasks, resolving customer issues, and suggesting process improvements. The platform connects to over 100 WMS platforms, communication channels, and portals to ingest data. Users configure the system by feeding it their Standard Operating Procedures (SOPs) in various formats (PDFs, text, MP3s). BackOps AI then automates routine tasks, escalates complex issues to humans, and resolves end-to-end issues by following SOPs. It can handle order entry, claims handling, order status inquiries, reshipment requests, quote requests, and invoice requests. The company emphasizes its "human in the loop" approach, allowing for team oversight and approvals. BackOps AI is built by a team with experience from major tech companies like Amazon, Apple, and Meta, focusing on solving complex logistics problems and edge cases. Their business model is primarily SaaS, offering automation that integrates with existing tech stacks.
What they do: AI-native operations platform that automates end-to-end logistics and supply-chain workflows
Founders: Sean McCarthy (Co‑Founder & CEO) and Henry Ou (Co‑Founder & CTO)
HQ: San Francisco, California
Funding: $2M pre-seed (Oct 16, 2024); Seed round announced Jun 24, 2025
Tech / integrations: Integrates with ERPs, WMS platforms, vendor portals and common communication channels
| Company |
|---|
Logistics and supply-chain operations automation
2024
IT System Custom Software Development
$2,000,000
Announcement posted by company
Investors listed include Construct Capital, Gradient, and 10VC
“Backed by AI‑focused and early‑stage investors (Gradient Ventures, 10VC, Construct Capital)”
About BackOps AI
BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact.
Role Overview
We are looking for a detail-oriented Manual QA Engineer to join our team and help ensure the quality and reliability of our products. You will work closely with cross-functional teams, including Engineering, Product, and Design, to improve overall product quality and deliver a seamless, reliable user experience.
The role emphasizes strong manual testing expertise and close collaboration with automation engineers to optimize test coverage.
Responsibilities
Requirements
Nice to Have