Solutions Engineer

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're hiring a Solutions Engineer, based at our HQ office in Sydney.

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 Solutions 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.

• 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

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.

• 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)

If you don't quite match this and are from an underrepresented background, we strongly encourage you to reach out! We know firsthand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences.

Warm, mature, flexible culture. Low ego, high trust team. No tolerance for 'talented jerks'. We embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We're 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. We aim to match unicorn / scale-up pay at base salary and offer a potentially life-changing equity stake in the business. Our team gets the same monthly updates we send to our investors because they're investors and owners too.

On the technical cutting edge. With our users we're 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 — it's white space for us to invent. The AI agent problems we're solving are beyond the cutting edge at the biggest research labs. We're building on a modern tech stack, with TypeScript, React/Remix, PrismaORM, NestJS and some Python sprinkled in.

No nonsense recruitment process. The process is: 1) informal chats with our hiring team 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. There's no better way for each of us to figure out if we like working together than to work together!