AI-powered supply chain workflow automation and intelligence
BackOps is a 2024-founded startup automating supply chain workflows with AI, built on a modern testing + infrastructure stack (React, Node.js, Python, Playwright, Selenium, Jenkins, AWS). Early hiring is heavily skewed toward engineering and sales (7 roles combined of 13 active) with 7 senior-level positions open—typical burn pattern for a pre-seed or seed stage company scaling from POC into production. Active projects span vertical AI agent building, full-stack feature development, and go-to-market work, while internal pain points cluster around workflow automation, customer adoption, and scaling operational capacity.
Notable leadership hires: Chief of Staff
BackOps builds AI solutions for logistics and supply chain teams, focusing on workflow automation and operational intelligence. Founded in 2024 and based in San Francisco, the company operates at 11–50 employees and is actively hiring across engineering, sales, and product. The technology stack centers on Node.js and Python for backend logic, React for frontend, and AWS for infrastructure, with heavy use of test automation tools (Playwright, Selenium, JMeter, Gatling) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD), suggesting a QA-mature, rapid-iteration approach. Current project focus spans proof-of-concept work, technical R&D, feature shipping, and go-to-market initiatives.
BackOps uses React and Node.js for application development, Python for backend services, Playwright and Selenium for test automation, and AWS for infrastructure. CI/CD runs on Jenkins, GitHub Actions, and GitLab CI/CD.
Active projects include vertical AI agent building, full-stack feature development, forensic workflow analysis, proof-of-concept work, and go-to-market initiatives, alongside technical R&D and product vision scoping.
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