Paid Media Specialist

About the role

PortPort is seeking a Paid Media Specialist to own and execute paid search and paid social strategies end‑to‑end. You will build, launch, and optimise campaigns across multiple channels with full budget authority and direct access to leadership in a fast‑paced, growth‑focused environment.

Key responsibilities

• Build and scale paid acquisition campaigns across Google Search, LinkedIn, Twitter/X, Reddit and emerging channels.
• Manage budgets, achieve ROAS/CPA targets and continuously optimise through A/B testing of audiences, creatives and messaging.
• Leverage AI tools and automation to improve workflow efficiency and uncover optimisation opportunities.
• Conduct deep‑dive analyses on campaign and funnel performance, build dashboards to track KPIs and present actionable insights.
• Develop data‑driven strategies targeting technical buyers in DevOps, infrastructure and AI/ML spaces.
• Collaborate cross‑functionally with Demand Generation, product, analytics and content teams to align paid acquisition with business goals.

Required profile

• 5+ years of hands‑on paid search and/or performance marketing with a proven track record of scaling budgets profitably.
• Experience running acquisition campaigns for B2B SaaS/technology companies and understanding technical buyer personas.
• Advanced expertise with Google Ads and LinkedIn Ads; familiarity with native networks such as Taboola, Outbrain, MGID and platforms like Reddit and Twitter/X is a plus.
• High level of AI literacy and experience using automation tools to optimise campaigns and analysis.
• Strong knowledge of marketing automation, pixel/event tracking, UTM structure, web attribution and data integration.
• Ability to conduct data analyses to identify trends and performance gaps.

Required skills

• Google Ads
• LinkedIn Ads
• Taboola, Outbrain, MGID
• Reddit and Twitter/X advertising platforms
• AI and automation tools for campaign optimisation
• Marketing automation platforms
• Pixel and event tracking, UTM tagging, web attribution
• Data integration and analytics