AI Implementation Strategist

About Lorikeet

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’re 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 Australia,

• The largest bank for teens in the US,

• One of the largest NFT marketplaces by trading volume

• One of the largest Web3 gaming companies

… and a handful of other enterprise customers with over 1 million support tickets a year.

What’s unique about this opportunity?

• 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. 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’re building a small, great team. 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 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, capabilites 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. 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. There’s no better way for each of us to figure out if we like working together than to work together!

About the role and you

This is an opportunity to be an early joiner of Lorikeet’s implementation team: you will be part of a SWAT team dedicated to driving Lorikeet’s growth by working directly with our customers. You’ll serve as a trusted advisor, problem solver, and AI guide—helping customers successfully adopt and integrate Lorikeet’s platform into their business.

You don’t need to be a technical expert, but you should be comfortable working with technology, learning new tools, and thinking through complex problems. This is a unique opportunity to develop expertise in AI and automation while making a real impact on how companies improve their customer experience.

Over time, you’ll play a key role in shaping how our customers use Lorikeet, unlocking new possibilities beyond customer support. For the right candidate, this means endless opportunities to grow, learn, and take on exciting challenges.

The right candidate

We’re looking for a business-savvy problem solver to join our Australian team. This role is perfect for someone who is:

1. Curious about AI and eager to learn how it can transform customer interactions

2. Excited to develop technical skills and comfortable working with technology (even if you don’t have formal technical training)

3. Motivated by impact and wants to play a key role in an early-stage, fast-moving startup

We need someone who enjoys diving into customer challenges, figuring out how to configure and optimize AI tools, and thinking creatively about new ways to help businesses.

As an early team member, you’ll have the agency to take initiative and shape how we work with customers. You'll influence not just individual implementations, but also our overall approach to customer success.

What you’ll do

• Act as a trusted AI advisor for Lorikeet’s customer base

• Lead AI implementation projects from kickoff to successful deployment

• Work closely with customers to understand their workflows and configure Lorikeet’s tools to fit their needs

• Identify opportunities for AI-driven solutions beyond traditional customer support

• Collaborate with our product team to represent customer needs, provide feedback, and influence product strategy

• Guide customers through onboarding, troubleshooting, and best practices

• Solve integration challenges in creative and effective ways

You might be a fit if you

• Have 2-7 years of experience in a client-facing role such as management consulting, product management, or a related field

• Are a strong project leader — organized, proactive, and comfortable taking ownership

• Have experience building and managing relationships with customers or external stakeholders

• Are an excellent communicator — able to explain technical concepts in a simple, clear way

• Enjoy problem-solving and finding creative solutions to challenges

• Are excited about AI and already experimenting with it (e.g., using ChatGPT, trying AI tools, or learning how AI can be applied in business)

• Have a technical curiosity and enjoy learning new tools, even if you don’t have a formal technical background

If you don't quite match this and are from and 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.