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1 Job openings at Vayner Media XXX
Google Ads Specialist

India

3 years

None Not disclosed

Remote

Part Time

Job Opening: Google Ads Specialist (Part-Time, Remote) Company: Vayner Media Remote | Open to Global Candidates Part-Time | 20–25 hours per week | Flexible Schedule Application Deadline: July 25, 2025 Position Summary Vayner Media is hiring a part-time Google Ads Specialist to support digital advertising initiatives focused on lead generation and campaign performance. This fully remote role is suited for experienced professionals with a strong command of paid search strategy and data-driven optimization. Key Responsibilities Develop and manage campaigns across Google Search, Display, Performance Max, and YouTube Conduct keyword research, audience targeting, and bid optimization Monitor and report on key performance indicators including ROAS, CTR, CPA, and Quality Score Collaborate with creative and web teams to support landing page improvements Provide bi-weekly reporting with actionable insights and recommendations Qualifications Required: 2–3 years of hands-on experience managing Google Ads accounts Demonstrated ability to drive lead generation and optimize for conversions Familiarity with GA4, Google Tag Manager, and automated bidding strategies Google Ads certification in at least one area (e.g., Search, Display, Measurement) Preferred: Experience with Microsoft Ads or Meta Ads in multi-channel campaigns Background in healthcare or medical technology sectors Understanding of privacy-focused marketing practices What We Offer Fully remote work environment with schedule flexibility Opportunity to support digital campaigns in health and wellness sectors Access to professional tools and platforms (e.g., SEMrush, Optmyzr) Application Instructions To apply, please send the following to hr@vaynerdigital.com Your most recent resume with relevant experience and campaign budget ranges A brief cover letter outlining your approach to paid media strategy Optional: Portfolio materials (e.g., dashboards, reports, anonymized results)

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