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You will be updated with latest job alerts via emailSalary range: $156000 - $186000 SGD per annum RSUs
What Youll Do
Find your customers. Build an analytical data-driven idea of what customers really want and iterate on it quickly. Do not just stop at what you think their users want - build what they actually will love to use. Dig into the data run research work with our design engineering data teams and more to really understand what the next big thing were going to build is.
Build it for your users. With product sense conviction and a lot of supporting data expand or add on top of Wises award-winning app website and APIs to deliver intuitive and groundbreaking experiences to customers
Make your product sustainable. Understand what value it provides to the user and price it in a fair way that allows you to operate it at the level of quality your users deserve while running it sustainably for the years to com
Find your people. Build a large network inside the company that will let you get insights ideas critiques and help to ship world-class experiences within your team and with other teams.
Qualifications :
What Youll Bring
Experience in building consumer-facing products or a strong affinity with high-growth products that delight users and would be recognized as category-defining. It does not need to be fintech or digital products: any experience in shipping things that customers love is a must for this role.
A clear vision of what led to successes or failures in your career. Products can be successful or not what matters is what you learn from them
Analytical mindset: we dont care about your academic background but we deeply value the ability to use data to make informed decisions in highly ambiguous fast-moving contexts. You will have plenty of analytics and experienced product support at your disposal but you must be able to back your convictions and ideas with hard data to be able to run large-scale bets at Wise.
Nice to Have
Experience in a fintech or high growth finance-related company
A background in statistics/data analysis or user research or design/product design
SQL Python R or any data analysis software experience beyond Excel.
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Full-time