Head of Product Engineering - LatAm

Brazil /
Multiple – Backend Software Engineer /
The Expansion team is one of the most cross-functional teams in Revolut, working with and supporting many of the other teams around the organisation. We are global expansion machines, regulatory and licensing experts, problem solvers and creators, with a strong collaborative and open culture. We are ultimately driven by the desire to open up Revolut to the widest possible audience around the world.
Regional product ensures our suite of products is tailored to the local markets. Our mission is to build the best suite of financial services products for customers around the globe. Virtually everyone on the planet interacts with money. We are building game-changing products that will make their lives easier and keep them in control of their financial world.

We’re looking for an Engineering Leader with strong LatAm experience. You’ll hire some of the most talented developers that the world of tech has to offer, and we’re keen to showcase their talent to the world - and that’s where you come in. Our team is highly technical and detail-oriented, and we love to get down into the nitty-gritty of our in-app processes to make the best possible experience for our customers.

You will build Revolut’s product in Latin America
You will build and lead a team of top-notch engineering talent across the region
You will be responsible for setting and ensuring KPI deliver
You will work with HQ engineering teams to ship world-leading software 
You will work with the teams in Mexico and Brazil to define the product backlog
As a result, you and your team's work will make a difference to millions of people across the region!

You love solving problems
You have 10+ years experience creating customer facing products, ideally in high-growth start-ups
You have extensive experience building product and engineering teams
You’re at ease working with developers and have held technical roles in the past
You are highly logical and technical
You have a track record of building successful (financial) products using data, customer feedback, common sense, and / or machine learning.