Lorikeet is redefining what customer support looks like — and we're just getting started.
We build AI that handles complex, high-volume support for fintechs, healthtechs, marketplaces, and delivery services. Not chatbot-tier AI. The kind that actually resolves tickets, gives support teams their time back, and raises the bar for what software can do.
We're backed by over $50M USD from QED, Blackbird, and Square Peg, with backing from operators like Claire Hughes Johnson (ex-Stripe COO) and Cristina Cordova (Linear COO), plus founders of Canva, Atlassian, and Airwallex. We're the first company since Canva to be funded at early stage by all three of Australia's top VC funds — which tells you something about the calibre of people who've looked closely at what we're building and said yes.
Our customers include some of the largest telehealth, fintech, and marketplace companies in the US and Australia — many handling over a million support tickets a year. The problems are real, the scale is real, and the work matters.
If you want to build something that genuinely changes how businesses and customers interact — this is the place.
You'll be building something that's genuinely innovating the world of customer support. Together we'll be defining what AI-first product development looks like in practice — the UI/UX, the capabilities, the data models. It's a wide open problem space.
Day to day, you'll take ownership of hard problems from idea to production. That means working closely with coding agents as a core part of your workflow, building the tooling and feedback systems that make them effective, and bringing the engineering judgment to know when the output is ready to ship — and when it isn't. Senior engineers will own features end-to-end; staff-level candidates will have the opportunity to shape technical direction for the team.
Our stack is TypeScript, React/Remix, PrismaORM, NestJS, and some Python. Knowledge of the stack is nice; we know good engineers pick things up fast.
Have meaningful experience shipping code at a startup or company with high engineering standards
Are excited to work with a top-calibre team on genuinely novel AI problems
Are comfortable working with coding agents as a core part of how you build — not just as autocomplete, but as a real development workflow
Are looking for a career-defining opportunity: real scope, real ownership, and real upside at a fast-moving company
If you're from an underrepresented background and don't tick every box, please reach out anyway! We value user obsession and eagerness to learn over traditional credentials.