Performance Marketing Specialist

Job Brief

Performance Marketing Specialist

Ideally, the proficient candidate should have experience in managing 3-5 clients with an average budget of $20,000/month per client.

Key Responsibilities

• Plan, execute, and optimize Google Ads & LinkedIn Ads campaigns to drive high-quality leads.
• Hands-on experience in working with AI Tools or AI Agents.
• Manage search, display, video, and remarketing campaigns across platforms.
• Develop A/B testing strategies to improve ad performance and conversion rates.
• Conduct keyword research, audience targeting, and competitor analysis to refine campaign strategies.
• Utilize AI-powered tools for campaign optimization, audience insights, predictive analytics, and automated bid management.
• Work with the content and design teams to develop compelling ad creatives and landing pages with AI assistance for copy generation and creative optimization.
• Monitor and analyze campaign performance metrics (CTR, CPC, CPA, ROAS, etc.) and provide insights for improvement.
• Implement conversion tracking, pixel setup, and attribution modeling for accurate performance measurement.
• Leverage AI analytics tools to identify patterns, predict campaign performance, and generate actionable insights.
• Stay updated with industry trends, platform algorithm changes, and best practices to ensure campaign success.

Requirements

• 2+ years of experience in performance marketing, specifically in SaaS companies or SaaS Marketing agencies.
• Should exhibit proficient communication skills and client management experience.
• Proven expertise in Google Ads and LinkedIn Ads campaign management.
• Strong understanding of B2B SaaS marketing funnels and lead generation strategies.
• Experience with Google Analytics, Google Tag Manager, and UTM tracking.
• Hands-on experience in landing page optimization, A/B testing, and conversion rate optimization (CRO).
• Proficiency in Excel/Google Sheets for data analysis and reporting.
• Experience with AI marketing tools for campaign optimization and content creation.
• Excellent analytical skills with a results-driven mindset.
• Ability to integrate AI solutions to streamline workflows, improve targeting accuracy, and enhance campaign ROI.
• Knowledge of other paid advertising channels (Meta Ads, Twitter Ads, etc.) is a plus.