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About Lorikeet
Lorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces, and delivery services.
We’re building this by automating most support responses with transparent, customizable AI, allowing support teams to focus on managing automation and engaging with complex cases, rather than handling high volumes of simple tickets. Once freed from reactive support, teams can provide personalized concierge services to their customers.
Our team leverages Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience at Stripe, along with members from Stripe, Canva, Atlassian, Dropbox, and Dovetail.
We are growing rapidly, have paying customers, real revenue, an exciting roadmap, and a strong sales pipeline. We’re funded by leading VCs and angel investors, including Blackbird, Square Peg, Claire Hughes Johnson, Cristina Cordova, Bob Van Winden, and Cos Nicolaescu.
Our global customers include:The largest telehealth company in Australia
The largest bank for teens in the US
One of the largest NFT marketplaces by trading volume
One of the largest Web3 gaming companies
…and other enterprise customers with over 1 million support tickets annually.
What’s unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone owns working with users and building great products. Engineers take ownership of challenging problems and solutions.
Warm, mature, in-person, flexible culture. Low ego, high trust. We value working together in our Surry Hills office, with flexible hours to accommodate life outside work. We encourage diversity and value eagerness to learn over credentials.
High pay, high expectations, high performance. We aim to match unicorn-scale salaries and offer significant equity. Our team receives the same updates as our investors, as they are owners too.
On the technical cutting edge. We’re defining what an AI-first SaaS product looks like, inventing UI/UX, capabilities, and data models in white space. Our AI problems are beyond current research labs, using a modern stack including Typescript, React/Remix, PrismaORM, NestJS, and Python. Knowledge of these is nice, but adaptable engineers will thrive.
No nonsense recruitment process. It involves informal chats and a ~two-day paid work trial to see if we’re a good fit for each other.
You will build innovative customer support solutions, defining what an AI-first SaaS product looks like—an area with vast white space for invention. The AI challenges we tackle are at the forefront of research.
We’d love to speak with you if:
You are excited to work with a top-tier team on these challenges
You have 5+ years of experience in a top engineering organization, ideally with startup/scaleup exposure
You are comfortable across the stack, leading ambitious projects with strong technical, product, and design instincts
You are keen to mentor and lead less experienced engineers
If you don’t quite meet all criteria but come from an underrepresented background, we strongly encourage you to reach out. We believe diverse teams are higher performing and are proud of our inclusive culture.
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