Technical PPC Analyst: Tracking, Data & Growth

Cloudinary; Polska; Remote; PLN 90,000 - 150,000; Full time

Job summary

Cloudinary is seeking a technically skilled PPC Specialist who treats performance marketing as a science and a craft. You will audit and repair tracking infrastructure, diagnose data issues, and build campaigns on reliable measurement foundations.

You will own performance across Google Ads, LinkedIn, Meta, and Twitter/X, with a focus on clean account structure, brand-safe messaging, and data-driven decisions. Strong debugging and manual control are essential in a remote-friendly environment.

Qualifications

• Hands-on experience implementing and debugging Meta CAPI, Google Ads conversion tracking, LinkedIn Insight Tag, and X pixel.
• Proficiency with Google Tag Manager: building and troubleshooting containers, triggers and data layers.
• Ability to diagnose pixel and tracking failures using browser tools and analytics platforms.

Responsibilities

• Audit and fix tracking infrastructure across Meta, Google, LinkedIn and X pixels.
• Configure GTM containers, triggers, variables and data layers for clean event taxonomy.
• Build PPC campaigns across Google Ads, LinkedIn, Meta and Twitter/X with structured architecture.
• Daily optimization, negative keyword hygiene, bid adjustments, and A/B testing of ads and pages.
• Prepare weekly performance reports linking outcomes to pipeline and CAC.

Skills

PPC campaigns

GTM troubleshooting

GA4 events

Pixel debugging

Cross-platform tracking

Tools

Google Tag Manager

Meta Conversions API

Google Ads conversion tracking

LinkedIn Insight Tag

X pixel

Job description

Cloudinary is seeking a technically skilled PPC Specialist who treats performance marketing as a science and a craft. You will audit and repair tracking infrastructure, diagnose data issues, and build campaigns on reliable measurement foundations.

You will own performance across Google Ads, LinkedIn, Meta, and Twitter/X, with a focus on clean account structure, brand-safe messaging, and data-driven decisions. Strong debugging and manual control are essential in a remote-friendly environment.