Gtm Systems Architect, Ripple Treasury (ai & Automation)

Ripple Ripple · Fintech · Chicago, IL +1 · Marketing

Role is an architect for a "Marketing Operating System" that leverages AI and automation to scale treasury solutions. The architect will connect tools like Gemini, Claude, CRM, and automation platforms to automate marketing campaigns, personalize content, research leads, and identify trends using LLMs and automation platforms.

What you'd actually do

  1. Build the Marketing OS: Design and maintain a unified marketing operating system that connects disparate tools to automate the end-to-end lifecycle of marketing programs.
  2. AI Integration: Deploy LLMs (specifically Gemini, Claude, and GPT-4) as logic layers within marketing workflows to automate content personalization, lead research, and campaign triggers.
  3. System Orchestration: Use automation platforms (e.g., Zapier, Make, n8n, or Clay) to build "waterfalls" that link Ripple’s internal data with external market signals.
  4. Cross-Functional Engineering: Partner with Marketing Ops, Data Science, and Product teams to ensure the Marketing OS integrates deeply with Ripple Treasury’s core data infrastructure.
  5. Process Automation: Replace manual marketing tasks with automated agents that handle everything from regional trend identification to actionable performance reporting.

Skills

Required

  • Experience in GTM Operations, Growth Engineering, or RevOps
  • Building technical marketing stacks
  • Deep technical fluency with LLMs (Gemini, Claude)
  • Applying LLMs to business logic and outbound automation
  • Systems Thinking
  • Proficiency in automation platforms (Make/n8n)
  • Proficiency in data enrichment tools (Clay)
  • Strong understanding of API integrations
  • Analytical Rigor
  • Communication skills

Nice to have

  • Coding skills in Python or JavaScript

What the JD emphasized

  • AI and automation
  • LLMs
  • automation platforms
  • API integrations
  • prompt engineering techniques

Other signals

  • Deploy LLMs as logic layers
  • Automate content personalization, lead research, and campaign triggers
  • Build automated agents for marketing tasks
  • Experiment with new AI tools and prompt engineering techniques