You will work within our Product Engineering team to define the best technical solution, directly impacting the shape of our products, bringing new ideas to life. You’ll think through all the details of the implementation, as well as different scenarios of product growth and scalability.

You will develop the data extraction and processing mechanisms inside our big data infrastructure (Spark, Cassandra), that currently supports the processing of 6GB of data every minute. Your mission will be to improve the overall quality, width and depth of the data collected on companies worldwide.

Your role combines the strategic relationship-building focus of a Customer Success Manager with the in-depth technical expertise of a Technical Account Manager. You will play a pivotal role in ensuring our clients derive maximum value from our data solutions, bridging the gap between our cutting-edge technology and our clients’ strategic goals.

You will apply statistical analysis to find outliers, determine quality KPIs on different samples of data and investigate on how we can improve the overall quality of it. Then communicate and coordinate with the rest of the data team to implement the improvements.

As an HR and Business Support Specialist, you’ll be the catalyst that holds the team together, ensuring seamless operations from office management to HR support and team assistance. You’ll be our all-around resourceful troubleshooter, with a focus on adding value while anticipating and solving any problems that come our way.

This is your fast track, not a waiting room where you’re stuck on boring tasks until you advance. Dive into complex challenges and count on high autonomy and exceptional mentoring as you grow.

You will actively engage with potential clients through personalized and multi-channel communication strategies, working closely with Account Executives to understand and promote our data products in the Procurement landscape.

You will craft custom ML-based solutions, focused on NLP and text processing, then fit them on TBs of data. You will work with cutting-edge architectures and techniques, then deploy your models in a massively parallel Big Data environment. You will be required to make domain-specific, data-oriented decisions, based on a vast and complete world-view.

We’ve prepared 3 tracks to make sure you get to do what fits your skills best: SW Engineer, ML Engineer & Data Engineer. You will work your way through your first deployment within the first 30 days. Your tasks will vary, depending on the moment you join our team and the skills that bring the most value at first, while you ramp up and learn the rest.