You’ll contribute to real product work, alongside a high-performance team in a high-stakes environment. Your tasks will vary (Data, ML, Delivery, Crawling, Infrastructure), 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.

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 and optimize the data management processes, handling diverse data formats from multiple sources, and proactively structure and clean data for effective and efficient delivery. Your mission will be to ensure the smooth flow of data from source to destination, maintaining high quality and accuracy throughout the process.

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 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.

You will develop the data extraction and processing mechanisms inside our big data infrastructure (Spark, Cassandra) with an emphasis on data modeling and code scalability. Your mission will be to improve the overall quality, width & depth of the data collected on companies worldwide.