About this role

▸about Ripple — company background

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK:

Ripple is evolving how we go-to-market, and we are looking for a technical GTM Systems Architect to join the Ripple Treasury marketing team. This is a high-impact individual contributor (IC) role focused on building a modern "Marketing Operating System" that leverages AI and automation to scale our treasury solutions globally. You will be the architect connecting multiple tools (Gemini, Claude, CRM, and automation platforms) to create a seamless, high-velocity engine for marketing campaigns and programs.

WHAT YOU'LL DO:

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.

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.

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.

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.

Process Automation: Replace manual marketing tasks with automated agents that handle everything from regional trend identification to actionable performance reporting.

Technical Optimization: Continuously experiment with new AI tools and prompt engineering techniques to improve the speed, cost-efficiency, and ROI of GTM initiatives.

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