Lorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.
We’re 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 what’s next: providing personalized concierge services to their customers.
To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve 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. We’ve raised over USD $50m from leading VCs and angel investors, including QED (Capital One founder), 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).
We're looking for a founding Product Marketing Manager to define how the world sees Lorikeet. Our product consistently wins against competitors—but only when prospects truly understand what we've built. As Lorikeet is a fully sold motion, we need someone who can translate our technical edge into messages that resonate across healthtech, fintech, and beyond. This is a rare chance to architect positioning from scratch and watch it directly drive revenue. You'll own the narrative that turns skeptical buyers into believers, crafting the story that carries through every customer interaction and powers our go-to-market engine.
The right candidate is equal parts strategist, researcher, storyteller, and executor but most importantly, a builder and shipper. You gain energy from taking ownership of complex problems and move quickly from insight to high-quality deliverables.
If 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.
Lorikeet uses Automated Employment Decision Tools (AEDT) to assist in the candidate screening process. These systems help us efficiently review a high volume of applications by analyzing qualifications, skills, and experience against the requirements of the job description.
The use of AI is intended to enhance, not replace, human judgment. Final hiring decisions are made by human recruiters and hiring managers who review all relevant information, including AI-generated assessments, to ensure a fair and comprehensive evaluation.
Our AI systems are regularly audited and monitored to prevent and mitigate bias. We are committed to ensuring that our technology-assisted processes comply with all federal, state, and local anti-discrimination laws.
If you require a reasonable accommodation to participate in our application process, please contact us at: people@lorikeetcx.ai