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.
This is a unique role that will have an immediate impact on Lorikeet’s growth by directly addressing one of our customers’ biggest opportunities to-date: getting Lorikeet trained up and deployed as fast as possible!
As a Forward Deployed Engineer at Lorikeet, you'll be the bridge between Lorikeet's technology and our clients' success. You'll work directly with customers to understand their needs, implement AI solutions, and ensure they get maximum value from Lorikeet.
You’ll serve as an AI expert for our customers, integration expert, and problem solver, forging strong relationships and great outcomes for their customers. This is a unique opportunity to take a technical background or mindset and a curiosity about AI and turn it into a high impact career.
Over time, you’re going to break new ground with our customers and help them enable mind-blowing experiences for their end users. The sky is the limit for what you’ll be able to help our customers do, and for the right candidate, that’s the most exciting part.
This role is perfect for someone who is (1) deeply interested in AI, (2) is excited to build technical skills relevant to AI, and (3) is energized by operating at the nexus of the technical implementation of AI and ensuring customer success.
We need someone who is technically-minded and excited to dive into the technical aspects of AI, loves building, learning, and tinkering, and most importantly, is hyper-focused on customer impact.
As an early team member, you’ll have the agency to identify what needs to be done and take initiative to make it happen. You'll have the opportunity to shape not just individual client implementations, but also our overall approach to customer deployment and success.
Our customers and revenue are >50% in the US, but today most of our team and our headquarters is in Sydney, Australia, where we’d love to host you for onboarding.
Be an AI expert and evangelist for Lorikeet’s customer base
Lead AI implementation projects from kickoff to successful deployment
Build and configure workflows in Lorikeet's AI tools to meet each unique customer’s goals
Understand customers’ businesses and recommend innovative AI solutions beyond typical customer support to achieve their business goals
Work with our product team to represent customer needs, provide feedback, and inform both our short-term and long-term product strategy
Guide customers through technical implementation while building strong relationships
Solve complex integration challenges creatively and efficiently
Have 2-5 years of client-facing experience in management consulting, technical implementation, or similar roles
Have a technical background, training or mindset. This may be a CS or engineering major, experience in math or stats, or a track record of learning and using technical skills (e.g. building with no or low code tools, doing data analysis, etc.). Previous software engineering experience is not required, but is very useful.
Are a strong project leader with a track record of independently leading complex technical solutions (e.g. you are organized, reliable, and extremely high-agency)
Have experience building & managing stakeholder relationships (e.g. you’re very comfortable working with external clients)
Possess strong communication skills (e.g. you can effectively listen on all levels, and have the ability to explain technical concepts to non-technical stakeholders)
Have a solution-oriented mindset (e.g. you love to think creatively to solve problems and “hack” systems to do unexpected things)
Are excited about AI, knowledgeable and already tinkers with it (e.g. you’re a ChatGPT power user, or build AI projects in your spare time)
A culture that's genuinely different. Low ego, high trust, no tolerance for talented jerks. We work efficiently, keep hours flexible, and actually mean it — because life outside work matters. We're committed to building a diverse team and actively encourage applicants from underrepresented backgrounds. We care far more about user obsession and eagerness to learn than traditional credentials.
A front-row seat to building something meaningful. We're Series A and moving fast. You'll have real scope to shape the product and the company — not just execute someone else's vision.
Performance recognized in real time, not on a calendar. Promotions happen when you're ready — leadership meets every six weeks specifically to identify and recognize strong performers, so you're never waiting for an arbitrary review window to move up.
We're AI-native, and we'll make you AI-native too. Every person at Lorikeet uses AI in their day-to-day work (current favourite: Claude Code), with unrestricted access and no usage limits. You'll leave with skills that matter for the next decade of work.
Twice a year, the whole company flies to Hawaii. Headquartered in Sydney, with teams spanning the US and UK — which means getting everyone in the same place is something we invest in seriously. 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.
A recruitment process built on respect, not hoops. We keep it simple: a couple of informal chats to share our story and hear yours, followed by a paid ~two-day work trial. The work trial is genuinely the best part — you'll work on real problems alongside the actual team, get a true feel for how we operate, and we'll both come out of it knowing whether this is the right fit. No trick questions, no take-homes that disappear into a void. Just real work, done together.
If you're from an underrepresented background and don't tick every box, please reach out anyway. We know firsthand that diverse teams perform better, and we're proud that our team reflects a broad spectrum of identities and lived experiences.
