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Paid Social Specialist (Remote)

Finch · Quito

Remote
Remote 🇬🇧 English
Meta Ads CAPI event validation audience testing

Descripcion del puesto

About the role

Finch is a fully remote performance marketing agency seeking a Paid Social Specialist to own day‑to‑day campaign execution across a portfolio of paid social accounts. You will ensure campaigns are built correctly, continuously tested, and meet clear KPI targets while catching issues before they become problems.

Key responsibilities

  • Build and maintain scalable paid social structures for prospecting, retargeting, and lifecycle flows.
  • Translate creative inputs into testable variants, identify winners and losers, and drive iterative performance improvements.
  • Validate pixel, CAPI, and event setups; monitor attribution mismatches and maintain campaign hygiene.
  • Own daily pacing and performance health of assigned clients, flagging risks and optimizing toward KPIs.
  • Collaborate with the Social Lead Specialist and creative/strategy teams to align execution with broader paid social goals.

Required profile

  • 4+ years of hands‑on paid social experience, with mandatory Meta Ads expertise.
  • Proven track record managing multiple client accounts in high‑spend or high‑volume environments.
  • Strong command of campaign structure best practices across prospecting, retargeting, and lifecycle stages.
  • Deep understanding of attribution models, signal quality, and full‑funnel logic.

Required skills

  • Meta Ads platform
  • TikTok Ads (optional)
  • LinkedIn Ads (optional)
  • Pixel and CAPI implementation
  • Event validation
  • Campaign structuring and testing frameworks
  • Attribution modeling
  • Performance KPI analysis (CPA, ROAS, CPM, CTR)

What we offer

  • Fully distributed global team with flexible remote work.
  • Immediate impact on client performance from day one.
  • Culture of curiosity, transparency, and ownership.
  • Collaboration with high‑caliber specialists across Paid Search, DSP, Creative, Analytics, and Client Success.
  • Continuous learning and experimentation in a fast‑growing environment.

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Publicado hace 3 meses

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