Technical Marketing Analyst - PPC (Contract)

Cloudinary; Poland; On-site; PLN 120,000 - 180,000; Full time

Job summary

Cloudinary is seeking a technically skilled PPC Specialist who treats performance marketing as both a science and a craft. You will own tracking infrastructure, diagnose data integrity, and build campaigns on a foundation of reliable measurement.

You'll fix broken tracking, tie campaign performance to revenue metrics, and maintain brand and funnel integrity by taking manual control when needed, running deliberate tests, and unifying messaging across Google, LinkedIn, Meta, and X/Twitter.

Qualifications

• Hands-on experience implementing and debugging Meta CAPI, Google Ads conversion tracking, LinkedIn Insight Tag, and X pixel.
• Proficiency with Google Tag Manager: containers, triggers, data layer variables, and event schemas.
• Familiarity with GA4 event model, DebugView, and cross‑platform attribution challenges.

Responsibilities

• Audit and fix tracking infrastructure (pixels, CAPI, GTM, conversion events) before scaling spend.
• Tie campaign performance to pipeline and revenue metrics.
• Switch off AI/auto-optimize features to maintain brand and funnel integrity.
• Run A/B tests on creative, copy, audiences, and landing pages.
• Prepare weekly performance reports with insights and not just data dumps.
• Collaborate with Growth, Content, and Design teams to align messaging and experiments.

Skills

PPC campaign management

Analytics & data-driven decision

Troubleshooting & debugging

Tools

Meta Conversions API (CAPI)

Google Ads conversion tracking (gtag.js)

LinkedIn Insight Tag

X pixel

Google Tag Manager

GA4 DebugView / Analytics

Job description

We're looking for a technically skilled PPC Specialist who treats performance marketing as both a science and a craft.

This is not a "launch campaigns from templates" role - we need someone who can get under the hood of tracking infrastructure, diagnose data integrity issues, and build campaigns on a foundation of reliable measurement.

We need someone who can both identify and fix technical issues (unreliable conversion data, pixel misconfiguration, broken audience pipelines). It's someone who understands how pixels, CAPI, GTM, and conversion APIs actually work at a technical level.

Your job is to build engine-room excellence in PPC performance. This means:

Fixing what's broken first: audit and repair tracking infrastructure (pixels, CAPI, GTM, conversion events) before scaling spend.

Understanding the business (not just the keywords) - tying campaign performance to real pipeline and revenue metrics.

Taking manual control when needed - switching off AI/auto-optimize features to maintain brand consistency and funnel integrity.

Running tests with intention, checking negative keywords daily, and refining messaging strategically.

Owning performance across all major platforms: Google Ads, LinkedIn Ads, Meta Ads, X/Twitter Ads.

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 s