Who we're looking for

Skip to content Navigation Menu Toggle navigation Sign in Appearance settings Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Appearance settings Resetting focus KaavioAI / jobs Public Notifications You must be signed in to change notification settings Fork 0 Star 1 KaavioAI/jobs mainBranchesTagsGo to fileCodeOpen more actions menuFolders and filesNameNameLast commit messageLast commit dateLatest commit History3 Commits3 Commits.gitignore.gitignore  README.mdREADME.md  applied-ai-engineer.mdapplied-ai-engineer.md  backend-engineer.mdbackend-engineer.md  View all filesRepository files navigationOpen Roles at Kaavio About Kaavio Kaavio builds AI-powered tools that help people buy and sell complex physical products. We work with industrial and science distributors managing massive catalogs (millions of SKUs, each with detailed specs and docs), extracting images, descriptions, and structured data for 10k+ products in days instead of months. The opportunity is enormous: B2B buyers will spend $8.5T online by 2030 (5x consumer ecommerce, growing twice as fast) yet 83% of B2B sellers say their product data is incomplete or outdated. The roles below sit at the heart of what makes Kaavio work: turning messy product data into trustworthy content at scale. We were founded by a CEO with prior founder experience and deep expertise in technical sales, alongside a CTO who has spent years building and leading engineering teams at startups. Learn more about us here. How we work Start with the customer: we build for real problems, learned from customer conversations. Learn by doing, not debating: write code, ship something, or talk to customers instead of debating hypotheticals. Work like scientists: especially in AI, the only way to know we're making progress is to run experiments and measure results. The difference between screwing around and science is writing it down. Everybody codes & everybody talks to customers: anyone can push a CSS fix or write a SQL query, and everyone gets on customer calls. Default to sharing: we share everything openly: draft PRs, planning docs, company plans, board notes, and finances. Celebrate wins: big and small, including the mistakes we learned from. Who we're looking for Problem owners who take a problem and make it theirs all the way through. Progress matters more than perfection. Resilient problem solvers who collaborate, iterate, and keep moving forward through startup messiness. Collaborative professionals who are thoughtful, flexible, and respectful. Genuine builders who love making things, software or not. Scientists at heart who reach for a measurement before an opinion and let the results change their mind. Open Roles We're still small enough that every hire shapes how we work and what we ship. If either of these sounds like you, we'd love to hear from you: Applied AI Engineer: work on research agents, RAG over large catalogs, structured extraction, and the eval work that makes AI trustworthy in production. Backend Engineer: work on the data platform, durable workflows, APIs, and infrastructure that keep a data-intensive AI app fast, reliable, and affordable. Interview Process We aim to be efficient and transparent. Our process centers on spending a day working together...