Martech Engineer III

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Requirements:

• 2–4 years of engineering experience in a Martech, Solutions Engineering, or fullstack developer role with exposure to digital marketing use cases
• Strong JavaScript fundamentals and production experience in at least one modern framework (preferably React or React Native)
• Hands-on experience with a backend language — ideally Ruby on Rails — to integrate tracking, handle data routing, or hit 3rd-party APIs
• Experience working with one or more Customer Data Platforms (RudderStack, Segment), Tag Managers (GTM, Tealium), or Engagement Tools (Braze, Iterable, OneSignal)
• Familiarity with attribution platforms (AppsFlyer, Singular, Adjust, Kochava) and how they tie into ad performance
• Genuine curiosity about how growth and marketing work under the hood — and a desire to build the systems that power them
• Clear, proactive communication skills — especially when translating between marketers and engineers
• A knack for balancing velocity with precision when it comes to data quality, tracking standards, and shipping production code

Responsibilities:

• Serve as the technical owner of marketing and engagement instrumentation across web, mobile, and backend systems
• Architect, implement, and maintain deep linking across platforms — supporting attribution, routing, and user experience
• Build and manage scalable integrations with key platforms like RudderStack, Braze, AppsFlyer, and other external partners
• Write and deploy custom tags and scripts via Google Tag Manager, including pixel tracking and cookie-based data capture
• Implement React and React Native tracking hooks to capture user behavior cleanly and modularly
• Contribute backend logic (preferably in Ruby or Python) to support server-side tracking, webhook ingestion, and API integrations
• Partner with Growth, Lifecycle, and Product teams to launch campaigns, define KPIs, and ship tracking for high-impact experiments
• Collaborate with external agencies and Martech vendors on technical strategy, implementation, and troubleshooting
• Define specs with data engineering to ensure marketing data lands cleanly and consistently in the warehouse
• Debug and QA data pipelines across the stack — from front-end event to downstream dashboard
• Create documentation, templates, and reusable modules to standardize Martech implementation and accelerate future launches