Product Operations Specialist

4 days ago

Tel Aviv, Tel Aviv, Israel Rapyd Full time ₪60,000 - ₪120,000 per year

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.

Get the tools to grow globally at Follow: Blog, Insta, LinkedIn, Twitter

As a Product Operations Specialist you will be responsible for: 

  • Partner with Product, Engineering, QA, and Implementation teams to ensure that products and processes run smoothly and have the data and tools needed for success
  • Provides critical support by building systems to capture, review, and analyze usage information and other key data, which helps PMs make better-informed product decisions.
  • Collecting, organizing, and analyzing quantitative and qualitative product data.
  • Build the right tools & processes that will strengthen product communication, internal managing, and development in a high-growth organization.
  •  Project manage the implementation and roll-out of products, ensuring all stakeholders are aligned on launch tasks.
Requirements
  • At least 3 years experience Product Operation/ RnD Technical  Program Management experience with proven experience  - Must
  • Problem-focused and solutions-oriented, with extreme attention to detail and not afraid of rolling up sleeves to get things done 
  • Have an understanding of all aspects of the product development lifecycle 
  • Experience with Jira and Confluence - Must
  • Data-driven, experienced with data analysis, industry metrics, and product experimentation - Must
  • 2  years experience with digital analytics and visualization tools such as
  • Full Story,  BI tools (Tableau, Looker)  - Advantage 
  • Data-driven, experienced with data analysis, industry metrics, and product experimentation 
  • BSc computer science, engineering, or a related technical field - advantage

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