Meet Rodrigo Pimentel, CTO @ Jump

4 minute read

Rodrigo, a native Brazilian and now adopted Amsterdammer, holds a critical role at Jump.Work. Not only is he responsible for the entire technology stack including implementation, maintenance, and management of a team of developers, but also for the future of the product and for the evolution of the machine learning engine that sits at the core of the Jump.Work talent platform.

Rodrigo Pimentel, Chief Technology Officer, Jump.Work

Rodrigo Pimentel, Chief Technology Officer, Jump.Work

Tell us a little bit about your background before Jump?

I have a history of working in and around start-ups right from the beginning of my career to now. In the almost 20 years I've been in technology, I have been a consultant, developed content publishing systems, worked for a huge Telco company, and a few years ago moved to Amsterdam to work as Senior Developer and Team Lead in a Dutch startup, Hyves. More recently, I worked in an Augmented Reality (AR) company which took me to San Francisco and Silicon Valley for a year.

I took time out in between all of this to complete my Masters degree in Computer Science and Machine Learning so I’ve been busy!

What attracted you to Jump?

The main reason I joined was for the Founders, Marja & Andrea. I thought they were focused and really driven. They were also the first founders I've met who weren’t enamoured with the idea of being a start-up per se but more focused on achieving big goals and doing something really meaningful. They genuinely wanted to shake up the category and in the meantime, make their company an enormous success.

The other thing that attracted me was the tech challenge that lay ahead: large volumes of ill-defined and incomplete data, and the opportunity to apply machine learning to make sense of it.

What makes Jump so unique?

Firstly, the kinds of data we’re looking at. We’re not just looking at basic CV data, we’re looking at CV data in combination with behavioural data and finding useful patterns that will help us predict what job you’ll be successful in. Even though there have been attempts to predict job success before, it’s never been done before using such rich and complex data points.

The other unique thing is the scale that we’re doing this at. We're capturing the entire hiring process and analysing behaviour in both the (potential) employer and employees. That generates a lot of data, for a lot of people.

And finally, it’s not just what we’re doing that’s unique but how we’re doing it. We’re committed to iterating fast, making quick decisions, measuring results and focusing on the stuff that will make the biggest impact.

Why do you believe this model is superior to other recruitment tech out there?

Simply put, there’s no one out there who is looking at the entire flow and at all the data points you can, and should, collect about a candidate.

Some are focused on better CV matching and on filtering people out which for me, is fundamentally wrong. CV data doesn’t tell the full picture and you can only match to a certain point.

Others are solely focused on behavioural-based matching and trying to predict if you’re patient, or more engaged for example.

Jump.Work is looking at the entire hiring process from the perspective of both the company and the candidate. This means that not only can our machine learning be used to predict who the best candidate for a job is, but also which other jobs the candidate will likely excel at.. We want to help companies find the best people for their teams based on the qualities that matter, and we want to help candidates find the career best suited to them.

What do you think Jump’s potential is?

I joined Jump.Work because I could really see the enormous potential in this approach. The legal recruitment market is unserved and nobody is tackling this bigger data problem in recruitment properly.

The great thing is, the more we scale, the better the data gets and the better our predictions become. Somewhat surprisingly, our predictions have been pretty accurate on the limited data set we have now so I can only imagine how powerful they’ll be as the company, and dataset grows.

In the longer term, I imagine we won’t just be looking at hiring people into roles, but how we help Professionals grow and develop in their career using the data and insights we’ve gathered. Imagine - if you’re a budding Paralegal, we’ll be able to tell you what skills, experience, and other traits the best Paralegals have in the different types of companies.

That’s invaluable.

Jump has already had great success and gaining a lot of traction with both companies and candidates, what do you think the keys to its success has been?

For me, the thing that stands out most is its impeccable focus on the end goal. We’re re-assessing how we’re moving towards that goal every day and if it looks like we have a bottleneck or our priorities need to change, we re-align our work and priorities. We focus on the stuff that’s important for both Professionals and Businesses and if what we’re doing isn’t working or isn’t important anymore, we don’t keep doing it for the sake of it. We change direction.

Your favourite tech company and why?

I’ve always had an admiration for Google as they’ve also put the quality of their technology at the very heart of their business and as a result, their engineers are world-class and their product impacts millions of people. I do fear though that they’ve become too big and slow and I wonder how they will manage company growth at that scale.

I love what Netflix are doing. They’re technically competent, using data to make viewing predictions and doing it on a much smaller company size than Google. In tech circles, their culture deck is legendary.

And the most important question of all -  pineapple on pizza, yay or nay?

That’s easy. If there’s pineapple on the pizza, it’s not even pizza.