
Teads · Ljubljana, Slovenia, SI · 11 days ago
Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.
For more information, visit www.teads.com.
As the NetSuite Functional Lead, you are the architect of our global ERP ecosystem. You will lead the functional execution of global rollouts and provide expert-level support. We are looking for a "power user" who leverages modern AI tools to accelerate system configuration, documentation, and business intelligence.
Please submit your CV in English.
#LI-Hybrid
At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.
Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.
Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.
Headquarters
Ljubljana, Slovenia
Work Location
hybrid
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
full-time
Experience Level
lead
Application Method
Apply via Website
Salary
Not specified
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