Lorikeet

You'll bridge Lorikeet's AI technology and client success, leading implementation projects from kickoff to deployment. You'll configure **AI tools** for diverse workflows and recommend innovative solutions. This role offers a front-row seat to building an AI-native company with real scope to shape product and culture.

You'll work in Lorikeet's founding office alongside the **CEO** and Chief of Staff on **high-stakes projects** that drive company growth. You'll build domain expertise and operational systems, with **unlimited scope for impact** and exposure to how a fast-scaling startup is built.

You'll pitch us a role that aligns your skills with our mission of redefining customer support with AI. You'll have the chance to join a well-funded startup backed by top VCs and operators. We're especially excited about multidisciplinary talent and proven excellence in demanding environments.

You'll build an AI-first customer support platform that **resolves complex tickets** for major fintech and healthtech companies. Your core impact will be **defining the UI/UX, capabilities, and data models** of an AI-first SaaS product. This role stands out because **coding agents are central to your workflow**, requiring strong engineering judgment to ship high-quality code.

You'll build **AI-first SaaS products** for customer support, taking ownership of hard problems from idea to production. You'll work closely with **coding agents** as a core part of your workflow, defining UI/UX and capabilities in a wide-open problem space. Your work will **directly impact** how businesses handle complex, high-volume support tickets.

You'll join **our first US engineering team** in New York, building **AI that redefines customer support**. You'll own hard problems end-to-end, working with coding agents as a core part of your workflow.

You'll be the first dedicated People team member in our Sydney office, owning **people ops**, **culture**, and **AI tool adoption** to scale the team. You'll partner with the Head of Operations to fill high-priority gaps and run experiments. This role offers **high autonomy** and the chance to **build from scratch** in a fast-scaling startup.