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Product Manager

  • Job reference: 43795
  • Location: London
  • Job type: Permanent
  • Start date: Not specified
  • Contact: Not specified
  • Sector: UX/UI and Product
  • Salary: £65000 - £95000 per annum + Package

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Location: London

Salary: C.£80,000+pakcage

Title: Senior Product Manager

The company:

My client is changing the way people send money abroad. They've taken something complicated and made it simple. Tap the App or click on their website and your international transfer is made - to a bank account, cash pickup, Mobile Money, or airtime top-up. Founded in 2010, they send international remittances from 50 countries to more than 150 countries and we continue to expand our footprint.

They have grown on average by 50% year on year and are now processing over £3bn of remittances on an annualised basis. They have raised c.$200 million in funding, currently employ over 750 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.

The Role:

You will lead the way in cultivating a sophisticated, data-driven culture. You'll help shape the
vision for how they use, share and gather data, while also helping sharpen insights and business decisions
through the intelligent application of data.


* A natural leader with a proven track record of building amazing products, preferably data-oriented
projects and products from the data-warehousing and analytics domain
* Someone who is not afraid to dive in - you'll know the data inside out and how it all connects. For
this, familiarity with SQL queries and Tableau reports will help. Python is a bonus. Experience
working hands on with an agile development team.

* Experience creating a roadmap, writing tight user stories, and prioritising a backlog using a workflow management tool (Jira, TFS, etc)
* A collaborator - you'll be working very closely with your Engineering lead and a team of developers, You'll also need the ability to work with - and deliver for - stakeholders across the organisation and who might be geographically dispersed.
* A highly analytical approach; you know which metrics to focus on and can reach conclusions from analysing quantitative and qualitative data.

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