You will work across the full optimisation lifecycle, turning ideas into hypotheses, running experiments, and embedding outcomes into repeatable processes while partnering closely with Product, Engineering, Data Science, Design and Commercial teams
Job Summary
You will work across the full optimisation lifecycle, turning ideas into hypotheses, running experiments, and embedding outcomes into repeatable processes while partnering closely with Product, Engineering, Data Science, Design and Commercial teams.
You own day-to-day yield optimisation in our ad-tech stack (GAM, Prebid, Amazon/TAM and related tools), executing and iterating upon optimisation strategies to improve customer outcomes.
Recognition as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK180 endorsed employer.
Matching Summary
You will work across the full optimisation lifecycle, turning ideas into hypotheses, running experiments, and embedding outcomes into repeatable processes while partnering closely with Product, Engineering, Data Science, Design and Commercial teams.
Skills & Requirements
Must-have
Publisher-side auctions optimization
Ad-serving and programmatic advertising
Troubleshooting ad-tech stack
A/B testing and experimentation
Data analysis and reporting
Nice-to-have
Collaborative and coachable
Subject-matter resource
Vendor and partner evaluations
Key Requirements
Degree in quantitative or analytical discipline or equivalent experience
Working knowledge of ad-serving and programmatic advertising