Performance Marketing Specialist

USA (Remote)

Salary Not AvailableMid Level3+ years expFull time

Posted 4 months ago

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Job Summary

Drive paid and organic growth for a B2B SaaS-focused marketing program across search, social, and SEO channels.

  • Plan, build, and optimize campaigns across Google Search, Performance Max, LinkedIn Ads, and retargeting.
  • Must-have: 3–6+ years in performance marketing with hands-on Google Ads and LinkedIn Ads.
  • Standout: Webflow/GA4/GSC experience paired with end-to-end optimization and cross-functional collaboration.

Job Description

Responsibilities

  • Plan, build, and optimize campaigns across Google Search, Performance Max, LinkedIn Ads, and retargeting platforms
  • Manage keyword strategy, bidding, creative testing, audience targeting, and campaign performance
  • Partner with cross-functional teams to support product launches, events, and campaigns
  • Improve landing page conversion rates through testing and data-driven optimization
  • Own on-page and technical SEO improvements across digital properties
  • Conduct keyword research, search intent analysis, and competitive insights (cloud, AI, and technical audiences)
  • Optimize metadata, page structure, internal linking, and site architecture
  • Monitor SEO performance using tools like Google Search Console and GA4
  • Maintain and update website pages using Webflow (content, layouts, CMS, CTAs, forms)
  • Implement light HTML/CSS updates as needed

Requirements

  • 3–6+ years of experience in performance marketing, PPC, SEO, or digital marketing (ideally in B2B SaaS)
  • Strong hands-on experience with Google Ads and LinkedIn Ads
  • Solid understanding of SEO fundamentals (keyword strategy, metadata, on-page optimization)
  • Experience working with Webflow (HTML/CSS familiarity is a plus)
  • Strong analytical skills using tools like GA4, GSC, and ad platform dashboards
  • Comfortable working with technical content or technical audiences
  • Strong communicator who can collaborate across teams

Preferred

  • Exposure to cloud, developer tooling, or AI/ML environments