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About LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces, and delivery services.Were doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle whats next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well-designed tooling were leveraging Jamies experience as an early member of Googles generative AI team and Steves experience building for operational teams at Stripe, as well as the experience of our team whove joined us from places like Stripe, Canva, Atlassian, Dropbox, and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap, and a strong sales pipeline. Were well funded by leading VCs and angel investors, including Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in AustraliaThe largest bank for teens in the USOne of the largest NFT marketplaces by trading volumeOne of the largest Web3 gaming companies and a handful of other enterprise customers with over 1 million support tickets a year.Whats unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers will take ownership of challenging problems and define and implement solutions.Warm, mature, in-person, flexible culture. Low ego, high trust team. No tolerance for talented jerks. We value working together in office as the default in our (quite nice!) Surry Hills office. Folks on the team have young families, so we embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. Were committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. Were building a small, great team. Engineers are generally underpaid in Sydney and under compensated with equity. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because theyre investors and owners too.On the technical cutting edge. With our users were defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities, and data models of an AI first company are - its white space for us to invent. The AI agent problems were solving are beyond the cutting edge at the biggest research labs. Were building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS, and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. Theres no better way for each of us to figure out if we like working together than to work together!About the role and youYou''ll be building a powerful project that is truly innovating the world of customer support. Together we''ll be defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities, and data models of an AI first company are - its white space for us to invent. The AI agent problems were solving are beyond the cutting edge at the biggest research labs.We''d love to speak with you if:You are excited by working with a top caliber team tackling the aboveYou have 5+ years of experience working in a top tier engineering organization, and ideally some exposure to startups/scaleupsYou are comfortable across the stack and are excited to lead ambitious, ambiguous projects that involve strong technical decision-making, effective implementation, and good product and design instinctsYou''re keen to mentor / lead less experienced engineersIf you don''t quite match this and are from an under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences. #J-18808-Ljbffr