AI Productivity & Implementation Specialist
Description
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.
As an AI Productivity & Implementation Specialist, you will partner with business units across Rapyd to identify where AI can eliminate friction, accelerate processes, and create measurable efficiency gains. You will not just recommend. You will build, deploy, and own the solutions end to end.
This is a high-visibility role in a team that reports to the COO. Your work will be measured in business outcomes, not activity.
What You Will Do
- Partner with business unit leads and department heads to map their end-to-end processes, identify inefficiencies, and assess whether a process should be eliminated, redesigned, or enhanced with AI.
- Design and deploy AI-powered automations and workflows using no-code and low-code tools (e.g. BlinkOps, n8n, Claude Cowork, GPT integrations, or similar).
- Run AI productivity projects from discovery through deployment and adoption, owning the full lifecycle.
- Inspect end-to-end organizational processes and evaluate whether they are needed, broken, or candidates for AI enhancement.
- Translate business problems into clear AI solution briefs and present recommendations to non-technical stakeholders.
- Develop organizational learning tools and lead training sessions to ensure employees actually use the AI solutions you deploy.
- Track and report measurable outcomes: time saved, cost reduced, error rates reduced, cycle times improved.
Requirements
What We Are Looking For
- 5 years of experience combining business operations, process improvement, or program management with proven hands-on use of AI tools.
- Demonstrable experience deploying AI automations or workflows in a business context, not just personal use.
- Strong business sense: you can read a process, identify what is broken, and think about it in terms of time, cost, and risk before thinking about tools.
- Excellent communication skills. You will spend as much time in rooms with department heads as in tools. You must hold both conversations credibly.
- Comfort with ambiguity. This team is newly formed. You will build structure, not inherit it.
- Fluency in Hebrew and English, both written and verbal, required.
- A genuine curiosity about AI, not as a trend, but as a craft.
Education
BSc in Industrial Engineering and Management, Organizational Development, Learning Technologies, or equivalent. Equivalent hands-on experience in operations or AI implementation will be considered equally.
Nice to Have
- Experience in fintech, payments, or financial services.
- Experience with knowledge management systems or learning and development tools.
What This Is Not
This is not a research role. This is not a prompt-engineering showcase. This is not a role for someone who has studied AI but never deployed it in a real organizational context. We move fast, we measure everything, and we expect you to own outcomes.
