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Sofar Sounds seeks a Freelance Paid Advertising Specialist in New York, NY. This role is hands-on and execution-focused, responsible for building, monitoring, and optimizing paid social campaigns across Meta and TikTok to meet guaranteed impression and view targets. The specialist will track daily pacing, reallocate budgets, adjust targeting, and provide performance reports. This flexible, freelance position requires strong analytical skills and the ability to manage multiple concurrent campaigns independently.
ABOUT US
Sofar Sounds is a global community that connects artists and audiences through unique and intimate experiences. Sofar shows transform everyday spaces — from living rooms and rooftops, to boutiques and museums — into captivating venues for intimate gigs, creating inclusive experiences that bring people closer together. Founded in London in 2009, Sofar creates space where music and arts matter in 400 cities around the world.
Our global team is distributed across the US and UK, and is backed by some of the best-known consumer industry investors (TCG, Battery Ventures, Union Square Ventures, Octopus and others).
THE ROLE
This is a flexible, freelance role supporting Sofar Studios' brand partnerships team in delivering paid social campaigns against contractually guaranteed impression and view targets.You'll be hands-on and execution-led: building and QA-ing campaigns across Meta and TikTok, monitoring delivery pacing daily against guaranteed KPIs, and stepping in quickly with budget reallocation or targeting adjustments when a campaign is at risk of under- or over-delivering. You'll work closely with the Senior Manager, Creative Operations (your day-to-day line) on execution, and with the VP and Managing Director of Sofar Studios on strategy and client-facing reporting.
Workload is variable and tied to the brand partnerships pipeline. Some weeks you may be managing a single campaign, others several running concurrently for different brands, so this role suits someone who can flex hours to campaign intensity, work independently between check-ins, and flag risk proactively rather than waiting for a scheduled report.