Lorikeet

Lorikeet

Software Engineer

New York City (US-Onsite)

Sponsorship not specifiedDetected 103 days ago
TypeScriptReactCustomer SupportLeadership

About the role

  • Together we'll be defining what AI-first product development looks like in practice - the UI/UX, the capabilities, the data models.
  • Day to day, you'll take ownership of hard problems from idea to production.
  • staff-level candidates will have the opportunity to shape technical direction for the team.

Responsibilities

  • We spend the time hacking on ideas, building things together that wouldn't otherwise exist, and making memories that remind you why you joined a startup in the first place.
  • Senior engineers will own features end-to-end
  • You'll be building something that's genuinely innovating the world of customer support.
  • Senior engineers will own features end-to-end; staff-level candidates will have the opportunity to shape technical direction for the team.
  • We're committed to building a diverse team and actively encourage applicants from underrepresented backgrounds.
  • A front-row seat to building something meaningful.

Requirements

  • Knowledge of the stack is nice

Compensation

  • 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.

Benefits

  • We work efficiently, keep hours flexible, and actually mean it - because life outside work matters.
  • You'll have real scope to shape the product and the company - not just execute someone else's vision.
  • You'll leave with skills that matter for the next decade of work.

Company info

  • 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.
  • 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.
  • Have meaningful experience shipping code at a startup or company with high engineering standards
  • Are looking for a career-defining opportunity: real scope, real ownership, and real upside at a fast-moving company
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This listing is sourced directly from Lorikeet's careers page and normalized into a canonical job model.