How you will spend your time:
- Own and evolve the Marketing technology roadmap — defining the strategy, prioritisation, and sequencing of investments in tooling, data, and AI capability across the entire Marketing function.
- Lead and grow a team - creating a culture of ownership, experimentation, and high performance.
- Drive AI adoption across Marketing and GTM — identifying, building, and scaling use-cases that meaningfully improve funnel efficiency, lead quality, content output, and campaign performance, with a preference for building rather than buying where it creates a durable advantage.
- Take ownership of Marketing’s data infrastructure — partnering with Data & Analytics to build in-house data capabilities including a Marketing-owned Postgres lakehouse, enabling the team to operate with greater autonomy and speed in accessing, modelling, and acting on marketing data.
- Own Marketing’s internal tooling platform — maintaining and extending tools used daily by 160+ Go-to-Market users to improve funnel visibility, lead-to-opportunity conversion, and decision-making speed.
- Represent Marketing Technology at a senior leadership level — bringing forward big initiatives, contributing to the Marketing Leadership Team (MLT) planning process, and building stakeholder confidence in the team’s roadmap and commercial impact.
- Establish and maintain project delivery rigour across the team — implementing the right processes and tooling (e.g. Jira) to track workload, manage cross-functional dependencies, and ensure external stakeholders are engaged early enough to avoid bottlenecks.
About you:
- Deep fluency across the modern Marketing technology landscape — including customer data platforms, marketing automation, CRM, analytics, and Go-to-Market tooling — with a proven ability to architect a coherent stack that reduces duplication and drives measurable business outcomes.
- Hands-on experience building and managing data pipelines and Marketing data infrastructure — comfortable working with SQL, data transformation tooling (e.g. dbt), and modern data warehouse architectures to give Marketing greater ownership of its own data.
- Experience leading technical teams that include software or data engineers — able to set a clear technical direction, review work meaningfully, and make credible decisions about build vs. buy and technical architecture trade-offs.
- Track record of translating complex technical work into business impact — able to connect MarTech investments directly to pipeline, conversion, and revenue outcomes in a way that resonates with senior commercial leaders.
- A bold, commercially-minded leader who brings forward ambitious ideas grounded in real, executable plans — not just concepts — and is comfortable championing them at the most senior levels of the organisation.
- Adaptable leadership style — able to flex between coaching high performers, developing early-career team members, and holding a firm line when the situation demands it, without defaulting to a single playbook.
- Proactive cross-functional operator — looks ahead to anticipate dependencies, brings stakeholders in early, and maintains momentum on projects even when other teams are moving at a different pace.
- Operates with genuine curiosity and intellectual honesty — actively seeks feedback, reflects clearly on what is and isn’t working, and brings the same candour to their team that they expect in return.
- Actively uses AI tools daily to accelerate and improve work — from automating workflows and generating content, to analysing data and prototyping solutions — and creates the conditions for their team to do the same.
- Clear point of view on where AI creates durable competitive advantage vs. where off-the-shelf solutions are sufficient — with a track record of building AI-powered capabilities that ship and create measurable impact, not just proof-of-concept work.
- Able to evaluate AI-generated output critically — understanding the limitations of models and tooling, and applying appropriate quality standards before shipping AI-powered systems to internal or external users.
More than a job:
- Equity with high growth potential, and a competitive salary
- Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office
- Access to professional and personal training and development opportunities
Hackathons, Workshops, Lunch & Learns - We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies
Office Benefits:
- In-house Culinary Crew serving up daily breakfast, lunch and snacks
- Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages
- Wellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policy
- Quarterly celebrations and team events, including our Shiplt global offsite
- On-site gym, table tennis, board games, books library, and pet-friendly offices
Skills Required
- Deep fluency across modern Marketing technology: CDPs, marketing automation, CRM, analytics
- Hands-on experience building and managing data pipelines and marketing data infrastructure using SQL and data transformation tooling (e.g., dbt)
- Experience with Postgres and modern data warehouse / lakehouse architectures
- Proven experience leading technical teams that include software or data engineers
- Track record of connecting MarTech investments to pipeline, conversion, and revenue outcomes
- Practical experience evaluating build vs. buy decisions and owning technical architecture trade-offs
- Experience establishing project delivery rigour and tooling (e.g., Jira) for cross-functional work
- Experience building and shipping AI-powered capabilities and a clear view on AI use-cases vs off-the-shelf solutions
What We Do
SafetyCulture is a global technology company that puts the power of continuous improvement into everyone's hands. Our operations platform unlocks the power of observation at scale, giving leaders visibility and workers a voice in driving quality, efficiency, and safety improvements. More than 60,000 customers use our operations platform to perform checks, train staff, report issues, and automate tasks. In doing so, we drive processes that help businesses get better every day. Recent analysis by Forrester found that our flagship products provide a 214% return on investment for customers, and USD $3.6M in cost savings from operational improvements. From top Australian ASX-listed grocer and retailer Coles and American aviation giant JetBlue, to Europe’s largest hospitality multi-national Accor, our operations platform is helping teams in every industry.









