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Technical Marketing Analyst – PPC (Contract)

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Published
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24 Sep 2026Apply before
Opportunity details

About this role.

AI Summary

Cloudinary seeks a contract Technical Marketing Analyst specializing in PPC, with a strong emphasis on repairing and governing marketing measurement infrastructure before scaling campaigns. The role owns tracking audits and implementations across Meta CAPI, Google Ads/gtag, GTM, LinkedIn Insight Tag, X pixel, GA4, and CRM pipeline reporting. It also manages multi-platform PPC strategy, daily optimization, structured experimentation, negative-keyword hygiene, and reporting tied to pipeline, CAC, and lead quality. The successful candidate will collaborate with Growth, Content, and Design while documenting scalable tracking architectures and PPC playbooks.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis role combines hands-on paid-media management with advanced technical debugging across client- and server-side tracking systems. The contractor is expected to identify unreliable data independently, repair implementations, and make high-impact optimization decisions in a fast-iteration environment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$105,000
US market range$85k–$125k
AI insightNo actual salary or rate is disclosed in the posting. The figures are estimated annual USD US-market equivalents for a mid-level technical PPC specialist with 3+ years of multi-channel campaign management and substantial GTM, conversion tracking, CAPI, and analytics troubleshooting expertise; contract rates may be structured differently.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you audit a discrepancy between Meta Ads conversions, GA4 events, and CRM opportunities?

I would first define the conversion event and attribution windows used by each system, then validate browser and server events using Meta Test Events, browser DevTools, GTM Preview, and GA4 DebugView. I would inspect event parameters, deduplication IDs, consent behavior, UTMs, and CRM matching logic before documenting the root cause, impact, and remediation plan.

Describe how you would implement reliable Meta browser pixel and Conversions API tracking.

I would establish a consistent event taxonomy and ensure browser and server events send aligned names, timestamps, user data, and event IDs for deduplication. I would test standard and custom events in Meta Events Manager, validate consent handling, monitor event-match quality, and compare results against GA4 and backend or CRM records.

What is your approach to deciding when to disable automated campaign optimization features?

I assess whether the automation is optimizing toward a validated conversion event that reflects business value. If conversion quality, attribution, brand controls, or funnel integrity are unreliable, I use more controlled bidding, targeting, placements, and experiment design until measurement is trustworthy enough for automation.

How do you maintain effective negative-keyword hygiene in a Google Ads account?

I review search-term reports routinely, prioritize terms by spend, conversion behavior, and relevance to the ICP, and add negatives at the appropriate campaign, ad-group, or shared-list level. I also distinguish between irrelevant queries and potentially valuable terms that require separate targeting, landing pages, or messaging.

How would you report PPC performance to stakeholders without producing a data dump?

I would lead with the business outcome, such as qualified pipeline, CAC, lead quality, or conversion reliability, then explain the key drivers behind changes. The report would clearly separate confirmed findings from hypotheses, identify any measurement limitations, and recommend prioritized actions with expected impact and rationale.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

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.

We are looking for someone who is obsessed with detail, technically curious, data-driven, and ready to bring craftsmanship back into PPC.

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.

Compensation

Additional Information

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