GTM Engineer

Lorikeet Go-To-Market 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 building our go-to-market engine from the ground up — and this role is at the centre of it. Reporting directly to the CRO, you'll be a founding member of our GTM team: the person who designs, builds, and owns the systems that turn market signal into qualified pipeline, and a genuine right hand on how we take Lorikeet to market.

This role sits at a rare intersection: engineering, commercial strategy, and AI tooling. You'll build the enrichment workflows, automation logic, and AI-powered systems that make our sales and marketing motion scale — and you'll help decide what we build and why, not just how. You'll be building what doesn't exist yet, not maintaining what does.

We're an AI company, and we intend our GTM function to look like one. Our current stack includes Clay, Hub Spot, and Claude, and you'll have real ownership over what we add, remove, and connect next — including building agentic workflows that most GTM teams haven't even imagined yet.

Own the GTM tech stack. Architect and operate our go-to-market tooling — Clay, Hub Spot, Claude, and whatever else earns its place. You decide how data flows between systems, what the source of truth is for each data type, and when a new tool is genuinely additive versus just adding noise.

Build AI-native pipeline workflows. Design and ship the logic that moves accounts from signal to sequence without manual intervention — enrichment waterfalls, intent-triggered outreach, lead routing, lifecycle automation, and agentic research and personalization workflows powered by Claude. Every workflow you build will be instrumented so you know what's working.

Shape GTM strategy alongside the CRO. Bring data-backed recommendations on ICP, segmentation, territory design, and where to focus next. Your systems generate the insight; you'll be in the room deciding what we do with it.

Keep our CRM clean and actionable. Not by manually scrubbing records — by building the systems that prevent the mess from accumulating. Deduplication logic, enrichment pipelines, lifecycle stage hygiene: the infrastructure that makes everything downstream more reliable.

Surface the right accounts at the right time. Build ICP scoring models, intent signals, and segmentation logic that makes our outbound smarter. The goal is precision, not volume.

Report on what matters. Build the dashboards that connect GTM activity to revenue outcomes — meetings booked, pipeline generated, conversion rates by segment. Over time, this becomes the pipeline story we tell the board, and you'll help tell it.

Help build the team. As we scale, you'll help define the GTM roles around you — and, if you want it, lead them.

This is a founding role with a deliberate trajectory:

• First 6 months:
  Build the engine. Architect the stack, ship the automation, prove what an AI-native GTM motion can do.

• 6–18 months:
  Own outcomes, not just systems. Take responsibility for segments or territories, and bring data-backed pipeline strategy directly to the…