
Rokt

We're Hiring!
Offices at Rokt
OnSite Workplace
Employees work from physical offices.
We believe we are better together. We spend most of our time in the office (most teams are 4 days a week). One week per quarter, you also have the flexibility to work from anywhere.
Typical time on-site:
None
Global Office Locations
Sydney, New South Wales, AUS


Close
Located in trendy Surry Hills, our Sydney office is based in the cultural epicentre of the city and only minutes away from Central Station. Amazing eateries, bars, and galleries are in walking distance, as is Prince Alfred park and pool for that lunch break workout.
Recently posted jobs
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software
As a Senior Technical Recruiter at Rokt, you'll oversee recruitment for key technical roles, partnering with hiring managers and engineering teams to develop recruitment strategies. You will manage the end-to-end recruitment process, track recruitment metrics, and serve as the Recruitment Site Lead in Australia, contributing to global hiring efforts.
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software
The Software Engineer will design, develop, and maintain scalable backend services for Rokt's selection systems, focusing on high-quality code and efficient deployment using modern programming languages and cloud platforms.
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software
As a Software Engineer for the ML Platform and Operations team, you will enhance machine learning infrastructure, manage pipelines, ensure efficient model deployment, and collaborate with data scientists on model requirements. Responsibilities include optimizing performance and maintaining cloud-based services for machine learning processes.