Media Buyer

About the role

HIGHSCALE is a data-driven agency that powers video ads for lifestyle, fashion, beauty and DTC brands. It is building its media buying team to run paid media for US brands across Meta, TikTok, YouTube and emerging platforms, with budgets of millions. The role is remote, working 9am to 6pm PST, Monday to Friday alongside the LA team.

Key responsibilities

• Plan, launch and optimize paid media campaigns across Meta, TikTok, YouTube and other platforms, managing budgets, bidding and audience targeting to maximize ROI.
• A/B test creatives, audiences and placements to find scalable winners.
• Track campaign data daily, build and present reports with insights and optimization strategies, and turn them into actionable advice for creative and strategy teams.
• Collaborate with creative, production and strategy teams, giving feedback on what works and supporting media plan development.
• Manage and scale ad accounts with 5 to 6 figures in monthly spend, proposing testing strategies and budget reallocations.
• Stay ahead of algorithm updates and platform trends by experimenting with new ad formats and beta programs.

Required profile

• 2 to 4 years of hands-on experience managing paid media campaigns, with a proven track record in performance marketing, ideally for eCommerce, fashion or beauty brands.
• Strong analytical skills: reading metrics, building reports and spotting growth levers.
• Ability to connect audience psychology with ad messaging and blend storytelling with data.
• Fast-paced, adaptable, collaborative and communicative, with excellent English.

Required skills

• Meta Ads Manager, TikTok Ads and Google Ads
• Analytics tools; bonus: Amazon Ads (Sponsored Products, Sponsored Brands, DSP) or full Amazon listing management
• Bonus: DV360 or other programmatic platform experience

What we offer

• Remote work with global teams
• Opportunity to lead media buying strategy for global DTC brands as the team grows
• Profit-sharing and stock options
• Training, workshops and tools for continuous learning