Technical Marketing Analyst - PPC (Contract) at cloudinary

We’re looking for a hands-on GEO/AEO Experimentation Specialist to drive our presence across AI-powered search engines and large language models. This is not a strategy role, you will be shipping experiments every week, measuring results, and iterating fast. Your mission is to increase our brand’s visibility and citation frequency in AI engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews through a disciplined experimentation program. You’ll run at least 5 experiments per week and demonstrate measurable progress on a weekly cadence. If you’re someone who loves tinkering, automating, and shipping fast, and you’re excited about the frontier of how AI engines discover and recommend content, this role is for you. Your Responsibilities: Tracking & Technical Infrastructure (Priority #1) • Audit and fix existing pixel implementations across Meta (CAPI + browser pixel), Google (gtag / Google Ads conversion tracking), LinkedIn Insight Tag, and X pixel. • Diagnose and resolve data discrepancies between ad platform reporting, Google Analytics (GA4), and CRM/pipeline data. • Implement or repair server-side tracking (Conversions API) to ensure reliable, privacy-compliant event data – not dependent solely on browser-side pixels. • Configure and validate Google Tag Manager (GTM) containers: triggers, tags, variables, data layers – ensuring clean event taxonomy. • Set up proper conversion events, custom conversions, and offline conversion imports where applicable. • Verify landing page tracking integrity: ensure page view, form submit, and downstream events fire correctly and consistently. • Document all tracking architecture: what fires where, what data flows where, and known limitations. Campaign Strategy & Setup • Build, structure, and refine PPC campaigns across Google Ads, LinkedIn, Meta, and Twitter/X. • Design clean account architectures with intentional segmentation. • Create campaigns that reflect brand voice, ICP specifics, and funnel needs – not generic AI-generated defaults. Daily Optimization & Analysis • Review negative keywords daily and maintain impeccable keyword hygiene. • Analyze performance and act on insights quickly: pausing, reallocating, adjusting bids, testing new ideas. • Run A/B tests on creative, copy, audiences, and landing pages. • Maintain consistency across platforms and ensure unified messaging. Reporting & Decision-Making • Prepare weekly performance reports with insights, not just data dumps. • Tie performance trends to business outcomes (pipeline, CAC, quality of leads). • Flag data reliability issues proactively – if metrics are unreliable, say so before decisions are made on bad data. • Recommend next steps – with the “why” – and challenge assumptions when needed. Cross-Functional Collaboration • Work with Growth, Content, and Design teams to align messaging, creative, and experiments. • Participate in performance reviews and strategy discussions. • Help build documentation, playbooks, and scalable PPC processes. What Makes You a Great Fit: Technical Requirements (Non-Negotiable) • Hands-on experience implementing and debugging Meta Conversions API (CAPI), Google Ads conversion tracking (gtag.js), LinkedIn Insight Tag, and X pixel. • Proficiency with Google Tag Manager: building and troubleshooting containers, custom triggers, data layer variables, and event schemas. • Ability to diagnose pixel/tracking failures using browser DevTools (Network tab, console), GTM Preview mode, Meta Events Manager / Test Events, Google Tag Assistant. • Experience with server-side tagging or server-side GTM is a strong plus. • Familiarity with GA4 event model, DebugView, and cross-platform attribution challenges. • Understanding of cookie consent frameworks and their impact on tracking (GDPR, ePrivacy). PPC & Campaign Management • 3+ years managing PPC campaigns across Google, Meta, LinkedIn, and Twitter/X. • Deep understanding of keyword strategy, bidding behavior, funnels, and intent mapping. • Strong preference for manual control – especially disabling auto-optimization when it conflicts with brand or funnel strategy. • You love optimization: checking performance metrics, fine-tuning targeting, expanding/cleaning negative keyword lists, testing hypotheses, finding marginal gains. • Strong analytical skills – you know how to interpret data beyond “CTR went up.” • Excellent English communication skills. • Comfortable in a growth-oriented, remote environment with fast iteration and experimentation.