Simply.TV

HQ
Copenhagen
Total Offices: 3
243 Total Employees
Year Founded: 2019

Jobs at Simply.TV

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Recently posted jobs

23 Hours AgoSaved
In-Office
Copenhagen, Capital Region, DNK
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Build and ship production AI features: develop retrieval, evaluation, and agent systems; prototype quickly with real content metadata; translate ambiguous product problems into working end-to-end systems.
YesterdaySaved
Remote
United States
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
The Sales Development Manager (SDR) will drive new business pipelines in the US, focusing on Tier 2 and Tier 3 customers, and use modern sales approaches to generate qualified opportunities and maintain CRM hygiene.
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
The Data Editor will research, edit, and ensure quality metadata for TV and movie content, ensuring accuracy and adherence to standards.
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
As a Junior Schedules Specialist, you'll support the Schedules Operations team by maintaining accurate schedule data, coordinating with teams, identifying discrepancies, and improving processes.
13 Days AgoSaved
Remote
2 Locations
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
The Sports Data Editor will research and create data entries for sports events, ensuring accuracy and completeness while working in a dynamic team environment.
16 Days AgoSaved
In-Office
Madrid, Comunidad de Madrid, ESP
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
Intern will manage and optimize data flows for TV metadata, implementing parsers and ensuring data accuracy while supporting internal and external stakeholders.
18 Days AgoSaved
In-Office
Madrid, Comunidad de Madrid, ESP
Artificial Intelligence • Digital Media • Machine Learning • News + Entertainment
The Intern will ensure accurate data flow for TV and movie metadata, implement hardcoding rules, optimize parsers, monitor data health, and support stakeholders.