GTM / Marketing Engineer
AI Summary
Influur is redefining advertising through creators, data, and AI. Our mission is to make creator marketing as measurable, predictable, and scalable as paid ads, and we're building the tech that powers it.
About this role
Influur is redefining advertising through creators, data, and AI. Our mission is to make creator marketing as measurable, predictable, and scalable as paid ads, and we're building the tech that powers it. Backed by top-tier investors and trusted by global brands, we're scaling fast across music and culture.
About the Role
We're looking for a technical, hands-on GTM / Marketing Engineer at the intersection of web development, marketing automation, and revenue operations. You'll architect the systems that capture, enrich, route, and attribute every lead from first pageview to closed-won, and build the AI agents and automations that scale our marketing without scaling headcount. This is a builder role for someone who can write code, wire up tools, and own end-to-end revenue infrastructure with minimal hand-holding. You push back on bad architecture before it gets built, not after.
Responsibilities
Revenue Infrastructure & Tracking
Design end-to-end revenue infrastructure for lead capture, enrichment, routing, and attribution from first pageview to closed-won
Own the marketing data infrastructure connecting campaign performance, attribution, and pipeline impact
Implement robust tracking frameworks (server-side tracking, GTM, CAPI) and build dashboards that keep data accurate and actionable
Web Dev & Automation
Develop high-performing landing pages (HTML, CSS, JavaScript)
Build and manage complex workflows and cross-platform integrations using Zapier and n8n
Build marketing agents and automations for repetitive, time-sensitive workflows: content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting
Publishing & Experimentation
Architect publishing systems integrating CMS, data sources, and distribution channels, automating content from creation to distribution
Run disciplined experiments across workflows and distribution strategies, then codify what works into repeatable templates and playbooks
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