Marketing Engineer

# Marketing Engineer — JOYMODE ----- ## About JOYMODE JOYMODE makes supplements for men who actually want to perform — in the gym, in the bedroom, and everywhere in between. We’re a bootstrapped DTC brand selling on Shopify, Amazon, and TikTok Shop — and expanding into retail. No corporate red tape. No 47-person approval chains. Just a small team that moves fast, owns their lanes, and is building something that’s changing how men think about wellness. If you’ve ever wanted to join a rocket ship early enough to actually steer it — keep reading. ----- ## The Role We need a Marketing Engineer who can be the technical backbone of our growth operation. You’ll own the infrastructure that makes everything measurable, automatable, and trustworthy — from pixel fires to attribution models to automated Slack reports that tell us if we’re winning or losing before we finish our morning coffee. This is the role that sits between marketing and engineering. You’re not running ads and you’re not building features — you’re making sure every dollar we spend is tracked correctly, every customer touchpoint is captured, every report is accurate, and every workflow that should be automated actually is. When the growth team makes a decision, your infrastructure is the reason they can trust the data behind it. If you’re the kind of person who gets genuinely bothered by a misconfigured pixel or a dashboard that doesn’t tie out — we need you. **Reports to:** Head of Growth & Ecommerce **Type:** Full-time or contract (remote) ----- ## What You’ll Own ### Tracking & Data Integrity - Pixel and conversion API management across Meta, TikTok, Google, and any new channels — ensuring server-side and browser-side tracking are firing correctly and consistently - UTM architecture and naming conventions — building and enforcing a tracking framework that makes every touchpoint attributable - Event tracking across Shopify, landing pages, and the full customer journey — add to cart, initiate checkout, purchase, subscription events, upsells, post-purchase actions - Diagnosing and fixing tracking discrepancies between platforms — when Meta says one thing, Google says another, and Shopify says a third, you figure out the truth - Ongoing audits to catch tracking drift before it corrupts reporting ### Attribution & Measurement - Managing and optimizing our attribution stack — whether that’s Triple Whale, Northbeam, or a custom blended model - Post-purchase survey implementation and analysis (Fairing or similar) for channel-level contribution insights - Promocode tracking infrastructure for partnerships, influencer, and podcast attribution - Building toward a blended GMLTV:CAC measurement framework that gives us a daily read on efficiency across DTC and Amazon - Helping the team understand what attribution can and can’t tell us — you’re the person who keeps us honest about the data ### Shopify & Technical Marketing - Shopify Liquid and theme-level code — custom scripts, checkout optimizations, dynamic content, conversion tracking snippets - App integrations and data flows between Shopify and the broader marketing stack (Klaviyo, Attentive, Skio, loyalty tools, review platforms) - Landing page technical setup — ensuring Replo/Shopify LP builds have proper tracking, load speed, and data capture - Troubleshooting technical issues across the ecommerce stack when something breaks or behaves unexpectedly ### Automation & Reporting - Building automated reporting systems — daily, weekly, and monthly performance reports that surface the right metrics to the right people at the right time - Slack-based alerting and notification systems — automated flags for spend anomalies, CPA spikes, tracking failures, or revenue milestones - Workflow automation across the marketing stack using Zapier, Make, custom scripts, or AI-powered tools — eliminating manual data pulls and repetitive operational tasks - Dashboard creation and maintenance — clean, accurate, and actually useful views of business performance across channels - Data pipeline management — ensuring data flows cleanly between platforms, warehouses, and reporting tools ### Experimentation Support - Technical implementation of CRO A/B tests — ensuring test variants are properly instrumented and results are statistically reliable - Supporting the growth team with technical setup for new channel tests, new tool evaluations, and new tracking requirements - Building the measurement framework for incrementality testing as we scale ----- ## You Might Be a Fit If You - Have 3-5 years of experience in marketing engineering, marketing ops, growth engineering, or a technical analytics role at a DTC brand or agency - Can write and debug Shopify Liquid, JavaScript, and basic HTML/CSS without Googling every other line - Have deep experience with tracking infrastructure — you’ve set up and troubleshot Meta CAPI, Google Tag Manager, TikTok Events API, and conversion tracking across multiple platforms - Understand attribution at a conceptual and technical level — you know why platforms over-report, how view-through vs. click-through windows work, and what a blended model actually means in practice - Have built automated reporting systems or dashboards that people actually use — not just pretty charts, but decision-driving tools - Are comfortable working in Zapier, Make, or scripting your own automations when the no-code tools hit their limits - Think in systems — you see a manual process and your first instinct is “how do I automate this so no one ever has to do it again” - Are meticulous about data accuracy — a 2% discrepancy between platforms doesn’t just bother you, it keeps you up at night - Can communicate technical concepts to non-technical teammates without making them feel stupid - Move fast and own your domain — you don’t wait for tickets or sprint planning, you see what needs fixing and you fix it ----- ## Nice to Have - Experience with data warehousing or ETL tools (BigQuery, dbt, Fivetran, Stitch) for building a unified data layer - Familiarity with Triple Whale, Northbeam, Rockerbox, or similar attribution platforms - Experience with Fairing, Enquire Labs, or post-purchase survey tools for attribution - Python or SQL proficiency for data analysis and custom reporting - Experience building Slack bots or automated alerting systems - Shopify Plus experience or advanced Shopify customization - Familiarity with subscription platforms (Skio, Recharge) and their data models - Experience with AI/LLM tools for data analysis, automation building, or workflow optimization — you see AI as a multiplier, not a gimmick - Health, wellness, or supplement space experience