Product Operations Manager

Rapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.

We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.

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We’re looking for a Product Operations Manager with an AI mindset - someone who loves building scalable systems, empowering product teams, and using automation + data to elevate every stage of the product lifecycle. If you thrive at the intersection of product, data, and operations, this role is built for you.You will be responsible for:

What You’ll Do

• Partner closely with Product, Engineering, QA, and Implementation to ensure products run smoothly and teams stay aligned and equipped.
• Develop AI-powered workflows, insights, and automations that streamline product planning, discovery, and execution.
• Build systems to capture, analyze, and visualize usage data, turning signals into actionable recommendations for PMs.
• Collect, organize, and interpret both qualitative and quantitative insights to support clear, data-backed product decisions.
• Design and optimize processes and internal tools that improve communication, visibility, and execution in a fast-growing environment.
• Drive and lead product launches, ensuring all stakeholders are aligned and execution is flawless.
• Champion scalable product operations by identifying opportunities for efficiency and implementing AI-enhanced solutions.

Who You Are

• 3+ years of Product Operations or R&D Technical Program Management experience with a proven track record of impact – Must
• Problem-focused and solutions-oriented, with exceptional attention to detail and a hands-on, “roll up your sleeves” approach
• Strong understanding of the full product development lifecycle- Must
• Passion for AI, with curiosity about how to integrate automation and intelligence into daily Product workflows
• Data-driven, comfortable with metrics, experimentation, and translating data into insights – Must
• 2+ years working with digital analytics and/or data visualization tools (e.g., FullStory, Tableau, Looker, or similar) – Advantage
• BSc in Computer Science, Engineering, or related technical field – Advantage
• Collaborative, organized, and great at influencing without authority

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