AI Performance Marketer

Oceans

. Own day-to-day campaign strategy, building, launching, managing, and optimizing performance marketing across Meta Ads and Google Ads .

Posted 10/21/2026full-timeSri LankaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive hands-on media buying experience across Meta Ads and Google Ads, with a strong focus on scaling campaigns profitably. Proficient in building and deploying AI workflows and automations, ensuring effective tracking and performance analysis in regulated advertising environments.

Highest-signal resume keywords

Meta Ads ManagementGoogle Ads ManagementGoogle Tag ManagerAI Workflow DeploymentConversion Rate Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Media BuyingPerformance MarketingTechnical Tracking SetupAttribution ModelingPixel TroubleshootingLanding Page OptimizationCampaign AnalysisConversion Metrics AnalysisCreative Asset DevelopmentData Analysis

Soft Skills

Autonomous ExecutionCreative JudgmentCollaborationProblem-SolvingInclusivity

Tools & Technologies

Meta Ads ManagerGoogle AdsGoogle AnalyticsMeta Events ManagerMeta Conversions APIClaude CodeCodexAPIsMCPsLanding Page Builders

Industry Keywords

D2CE-commerceHealth-TechRegulated AdvertisingCACROASCommercial OutcomesPerformance MaxEnhanced ConversionsConversion Experiments

About the role

Key responsibilities & impact

Own day-to-day campaign strategy, building, launching, managing, and optimizing performance marketing across Meta Ads and Google Ads
Bring Google Ads management in-house from the existing agency across Google Search and Performance Max
Scale Meta advertising campaigns while analyzing CAC, ROAS, conversion metrics, and commercial outcomes
Dynamically allocate budgets across Meta and Google based on blended CAC and business performance
Diagnose underperformance and execute corrective actions within ad platforms
Build, ship, and test landing page experiences for paid acquisition traffic without relying on software engineers or web developers
Execute conversion experiments across messaging, page structures, visual hooks, and landing page offers
Identify funnel friction and connect ad messaging to landing page iterations
Conceptualize performance creative assets and draft ad copy, hooks, and messaging frameworks
Analyze creative performance data and translate customer insights into new creative angles
Partner with designers to produce advertising assets compliant with brand positioning, healthcare claims libraries, and regulated advertising standards
Implement and troubleshoot advertising pixels and custom conversion events
Configure and maintain Google Tag Manager, Meta Conversions API, and Google offline/enhanced conversions
Ensure accurate conversion data flow between websites, ad networks, and reporting systems
Resolve discrepancies between platform-reported metrics and commercial outcomes
Build automated performance reporting models and log conversion experiments
Build and deploy production-level AI workflows, agentic systems, and growth automations using APIs, MCPs, scripts, Claude Code, Codex, or similar platforms
Automate campaign analysis, performance reporting, creative research, experiment logging, and operational workflows
Document custom AI systems and train growth colleagues on built tools
Maintain strategic human oversight over commercial decisions
Work directly with the Chief Revenue Officer and Founder/CEO as the primary hands-on performance marketer
Collaborate with the Content & Organic Growth Manager, growth team designers, and technical collaborators

Requirements

What you’ll need

Extensive hands-on media buying experience across Meta Ads and Google Ads (Search & Performance Max) with a proven track record of scaling paid campaigns profitably
Experience in D2C, e-commerce, health-tech, or regulated advertising environments is strongly preferred
Expert proficiency in Meta Ads Manager, Meta Events Manager, Google Ads, Google Tag Manager (GTM), Meta CAPI, Google Analytics, and landing page builder platforms
Advanced capability in technical tracking setup, enhanced/offline conversions, pixel troubleshooting, attribution modeling, GTM configuration, and interpreting commercial CAC/ROAS performance metrics
Demonstrated experience building and deploying production-level AI workflows, automations, and scripts using APIs, MCPs, and platforms such as Claude Code, Codex, or equivalent technical tools
Ability to demonstrate working AI workflows or automations personally built and deployed
Highly autonomous individual contributor with a hands-on execution focus and strong creative judgment
Ability to build systems end-to-end without developer dependency
Ability to work a split shift with some overlap with the client’s time zone
Availability to attend in-person training programs during the first 3.5 weeks
Candidates should expect a practical exercise or test task
Ability to work inclusively with individuals from a variety of backgrounds

Benefits

Comp & perks

In-person training programs during the first 3.5 weeks
Benefits and compensation information shared during the offer process
Guidance and support from an Operations Manager
Career growth and development support