Mid-Level MarTech Specialist

About the role

We're looking for a hands-on Mid-Level MarTech Specialist with solid expertise in web tracking, attribution, acquisition ecosystems, and subscription-based businesses. This is not a "ticket executor" role. We want someone who already understands how modern web acquisition works - from attribution models and browser limitations to GTM server-side setups, consent frameworks, SEO traffic, and raw Ad Network data. You'll work closely with Paid UA, SEO, Product, Data, and Engineering teams to build scalable tracking architectures that survive real-world conditions: browser restrictions, consent limitations, signal loss, broken payment flows, inconsistent attribution, and all the other fun things the internet throws at us. What we care about: curiosity, problem-solving, ownership, technical understanding, and your ability to make things work in production. What You'll Do Own and improve tracking implementations across our web properties. Work on attribution challenges across Paid, Organic, SEO, CRM, and subscription funnels. Build and maintain scalable tracking setups using GTM (client-side and server-side). Help improve conversion visibility and signal quality across Ad Networks. Collaborate with Paid UA teams to ensure campaigns receive high-quality conversion data. Work with SEO teams to understand organic funnels, landing page behavior, and traffic quality. Investigate discrepancies between platforms (GA4, Amplitude, Meta Ads, Google Ads, internal BI, etc.). Validate implementations directly in DevTools, network requests, payloads, cookies, APIs, and browser storage. Support consent-aware tracking implementations alongside Legal and Product teams. Use raw data from Ad Networks, analytics tools, and cloud systems to understand attribution and performance. Help design scalable event taxonomies and tracking architectures. Debug problems end-to-end instead of escalating them endlessly. Must-have: Web Tracking & MarTech Strong hands-on experience with web tracking projects in production environments. Advanced experience with Google Tag Manager (client-side is mandatory; server-side GTM is a big plus). Strong understanding of event tracking, data layers, funnels, attribution, and conversion flows. Experience implementing or maintaining server-to-server tracking setups. Experience with tools and technologies such as: Meta CAPI GA4 Measurement Protocol Google Ads API Conversion APIs Server-side tagging Direct API integrations Understanding of how browser restrictions, consent frameworks, and signal loss impact attribution and optimization. Strong understanding of attribution models and how tracking architecture impacts campaign performance. Acquisition & Growth Ecosystems Strong experience working in subscription-based businesses or recurring revenue models. Strong understanding of subscription funnels, recurring billing flows, trials, renewals, cancellations, and lifecycle attribution. Strong experience collaborating with Paid UA / performance marketing teams. Ideal plus: hands-on experience running acquisition campaigns yourself, especially across Google Ads and Meta Ads. You understand how Google Ads and Meta Ads work inside-out - from campaign structures and attribution windows to parameter handling, conversion flows, optimization logic, and signal quality. Solid understanding of acquisition ecosystems across paid and owned channels. Understanding of how Ad Networks work: Campaigns Ad Sets / Ad Groups Ads Conversion windows Attribution settings Parameter-based tracking Signal quality Ability to work with raw data from platforms such as: Google Ads Meta Ads Google Search Console Datadog Analytics platforms Internal BI systems Experience ingesting and working with marketing and acquisition data through APIs and external sources. Experience collaborating with Organic Growth / SEO teams is a strong plus. Exposure to SEO and Organic Growth tooling and workflows is highly valued, including: Google Search Console data ingestion Datadog analysis APIs from platforms such as Ahrefs or Semrush Organic funnel analysis Landing page performance analysis Analytics & Data Experience with product analytics platforms such as GA4, Amplitude, Mixpanel, or PostHog. Strong SQL skills to query data warehouses like BigQuery or Databricks. Practical experience with cloud systems (ideally GCP): BigQuery Cloud Functions Pub/Sub APIs Ability to identify when a reporting issue is actually caused upstream by tracking or attribution problems. Consent, Privacy & Signal Quality Experience with CMPs / consent management platforms such as: Didomi Cookiebot OneTrust Usercentrics Familiarity with: GDPR DMA Consent Mode V2 Vendors / Purposes Consent-aware implementations Comfortable validating consent behavior directly in DevTools and browser requests. Understanding of hashing, normalization, formatting, and match quality concepts related to conversion APIs and attribution systems. Technical & Debugging Skills Comfortable using browser DevTools. Abil

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Company Intel

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