Original listing text, shown exactly as published by the company.
About you
Technical skills
- 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.
Behavioural Skills
- 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.
AI Skills
- 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
