Growth Marketing Engineer

SmartAsset is an online destination for consumer-focused financial information and advice, seeking a Growth Marketing Engineer to build and operate systems that drive advisor acquisition and revenue attribution. The role involves leveraging AI and automation to enhance marketing processes and improve lead quality and experimentation velocity.

Responsibilities:

• You will build and operate the systems that drive advisor acquisition, lifecycle automation, and revenue attribution
• Advisor Marketing Qualified Lead (MQL) and Sales Accepted Lead (SAL) growth, while holding or improving Cost Per Lead (CPL) and lead quality
• A step-change in experimentation velocity across creative, landing pages, and lifecycle
• Closed-loop attribution from marketing source to closed revenue
• Incremental pipeline unlocked without adding Sales Development Representative (SDR) headcount
• AI-native content and campaign generation across ads, email, landing pages, and nurture — with an evaluation layer for brand voice, conversion intent, and SEC/FINRA compliance before anything ships
• Persona segmentation and enrichment pipelines that map inbound leads in real time and personalize outreach, nurture, and sales talking points
• Paid media automation across Google and LinkedIn Ads — bid rules, creative rotation, suppression, budget logic — driven by APIs, not manual operation
• Lifecycle and nurture systems with suppression logic across paid, Customer Relationship Management (CRM), and lifecycle channels
• Multi-touch attribution and a unified marketing–sales performance layer with one trusted view of lead quality, pipeline, and revenue by source and persona
• Agentic workflows that coordinate enrichment, scoring, outreach, and follow-up across CRM, email, and paid platforms

Requirements:

• 2–6+ years in growth marketing, marketing engineering, or go-to-market (GTM) engineering, with systems shipped in production
• Fluency with Claude Code, Claude API, and LLM workflow tooling — real systems shipped, not demos
• Strong automation and API skills across tools like n8n, Zapier, and Make, with the judgment to know when to go direct to an API
• Proficiency in SQL and hands-on experience with Salesforce or HubSpot, plus paid platform APIs (Google Ads, LinkedIn Ads)
• Evaluation-first mindset on AI outputs, especially in regulated categories
• Working knowledge of data modeling and comfort operating in a data warehouse, not just a dashboard
• Experience with multi-touch attribution and closed-loop revenue reporting in a business-to-business (B2B) context
• Experience building agentic workflows that coordinate across CRM, email, and paid platforms
• Systems thinking, high execution velocity, and comfort operating independently