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Sunnyvale Entertainment Jobs

Showing 1 - 8 of 8 postings found

Job Title Company Location Date Type Description Logo
Corporate Continuity Coordinator
Audacy
Anywhere, USA 11-22-2024
Full Time Job

Audacy is always seeking to add qualified individuals for the full time position of Continuity Coordinator within our corporate commercial Traffic team.

Media Executive - Gray Media
Gray Television
Anywhere, US 11-18-2024
Full Time Job

The Media Executive is responsible for the development, retention, and growth of digital revenue.

IT Support Specialist - Tech
Gray Television
Anywhere, US 11-12-2024
Full Time Job

This is a work from home remote position with the Corporate Technology IT Services Team. Gray Television/Gray Media Group is looking for a full-time IT Technical Support Specialist to join the corporate team in providing support for our television stations.

Dresser
AIDA Cruises
Anywhere, US 11-11-2024
Full Time Job

Responsible for providing, maintaining and repairing costumes & accessories for the show ensemble of up to 20 people.

Specialist For Event Technology – Light / Lighting Engineer
AIDA Cruises
Anywhere, US 11-11-2024
Full Time Job

Operation of lighting control consoles and media servers during rehearsals and shows/events in the onboard theater and/or on the pool deck, e.g. MA Lighting grandMA, coolux Pandoras Box, Martin Movingheads, Barco LED walls.

Excelerator Trainee
Finn Partners
Anywhere, US 10-25-2024
Full Time Job

Finn Partners is looking for recent college grads to join their 4-month Excelerator program, providing paid training and mentorship for a career in marketing communications within a top global agency.

Corporate Traffic Coordinator
Audacy
Anywhere, USA 10-22-2024
Full Time Job

Provide backup and assistance to traffic managers when necessary. Process sales orders including national and network orders.

Applied Scientist - Search Relevance, Music - Search Relevance
Amazon Music
Sunnyvale, CA 10-19-2024
Full Time Job

Amazon Music Search Relevance team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for.

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