Video-First Performance Ad Designer (UGC & Social)

Feit Electric; Pico Rivera (CA); On-site; USD 50,000 - 52,000; Full time

Job summary

Feit Electric is seeking a Digital Advertising Designer to create and optimize video-first ads for Google, Meta, and TikTok. The role focuses on turning brand assets and raw footage into high-performing creatives, using AI tools to speed up production and testing.

This onsite position in Pico Rivera, CA requires independent execution and strong collaboration with marketing and agency partners. You will manage multiple briefs, maintain brand voice, and iterate based on performance data to improve

Qualifications

• 3+ years designing and editing digital ad creative for performance campaigns.
• Portfolio showing video-first ads for Google, Meta, TikTok.
• Proficient in Premiere Pro, After Effects, CapCut or similar tools.
• Experience using AI editing tools to speed up production.
• Understanding of platform ad specs and best practices.

Responsibilities

• Design and edit digital ad creative for Google, Meta, and TikTok.
• Adapt existing video/UGC into multiple ad variations per platform.
• Experiment with AI editing to speed production and testing.
• Collaborate with marketing and agencies to align with briefs and brand voice.
• Monitor performance dashboards and iterate on assets based on data.

Skills

Video editing

UGC-style content

Performance marketing

Brand storytelling

Campaign briefs interpretation

Independent execution

Collaboration

Tools

Adobe Premiere Pro

After Effects

CapCut

AI-powered editing tools

Job description

Feit Electric is seeking a Digital Advertising Designer to create and optimize video-first ads for Google, Meta, and TikTok. The role focuses on turning brand assets and raw footage into high-performing creatives, using AI tools to speed up production and testing.

This onsite position in Pico Rivera, CA requires independent execution and strong collaboration with marketing and agency partners. You will manage multiple briefs, maintain brand voice, and iterate based on performance data to improve