Revenue Systems Specialist

Confirmed live in the last 24 hours

SafetyCulture

Sydney

On-site

Posted April 14, 2026

Job Description

Why join us?

We’re a global tech company, just not the kind you’re picturing.

Sure, we’ve got catered lunches, team events, cool merch, and yes... dogs in the office. But that’s not why people join.

Our team of nearly a thousand people wakes up every day to make our product and our customers’ lives better. At SafetyCulture, you’ll hear “yes, let’s give it a shot” more often than “that’s not how we do things here.”

People join because we’re building tools that make work better for the 3 billion people who keep the world moving - factory floor operators, baggage handlers, truck drivers, servers, store assistants. The ones who make things happen. We’ve got the scale and innovation you’d expect from big tech. The difference? No endless layers of sign-off. No corporate theatre. Just smart, experienced people solving real problems fast .

The scale is big. But the ownership’s personal. Every full-time team member gets equity - real skin in the game. When we grow, you do too. We’re not perfect, no company is. But this next chapter of our growth is about scaling with intelligence, not just size - fueled by operational maturity, a clear vision, and a strong focus on AI.

This is big tech impact, without the big tech ick. If that excites you more than it scares you, you’ll fit right in.

The Role

The Revenue Systems Specialist will lead the strategy and execution of AI across GTM systems and workflows, partnering closely with Sales, Revenue Operations, and Engineering to identify high-impact opportunities for automation and smarter ways of working. In this role, they will translate business needs into scalable solutions, help prioritise AI initiatives, and support the rollout of tools that improve pipeline execution, productivity, and operational efficiency across the revenue organisation. Day to day, they will act as a bridge between technical and commercial teams, bringing structure to experimentation, aligning stakeholders, and ensuring AI efforts deliver measurable business value.

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