Safetyculture 222d ago

Revenue Systems Specialist

SydneyFull-timemid

OtherSystemsRevenue SpecialistHospitality & Tourism

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Quick Summary

Overview

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.

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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 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.

Establish and own the AI roadmap across revenue systems and GTM workflows

Identify high-impact opportunities for automation, augmentation, and intelligence across the sales lifecycle

Build prioritization frameworks based on ROI, feasibility, and business value

Translate experimentation into structured, scalable execution

Improve efficiency across outreach, pipeline management, forecasting, and sales execution workflows

Act as the bridge between Sales stakeholders and Engineering partners

Partner with technical teams to deploy AI agents, automations, and workflow improvements

Build or prototype early-stage automations and AI workflows

Support rollout and adoption of solutions across revenue teams

Ensure initiatives move from concept to measurable outcomes

Align Sales, RevOps, and Engineering around shared priorities

Enable teams to adopt and benefit from AI-driven improvements

Experience in Sales, Sales Enablement, Revenue Operations, or GTM Systems roles

Strong understanding of pipeline management, outreach workflows, and sales processes

Hands-on exposure to AI tools, agents, or workflow automations (personal experimentation strongly valued)

Demonstrated ability to translate business needs into technical/system solutions

Product-style thinking applied to internal systems and workflows

Ability to speak fluently with both Sales leaders and Engineers

Comfort operating in ambiguity and shaping a function as it evolves

Bias toward experimentation and rapid iteration

Strong structured problem-solving mindset

Experience with tools such as: Salesforce, Gong, Workflow automation platforms, AI copilots, agents, or LLM-based tooling, etc Technical & Systems Exposure (Preferred)

Formal engineering experience is not required, but technical curiosity is essential.