Jobs at Kalepa

The technical challenges at Kalepa are real and varied. We ingest and normalize a vast range of structured and unstructured data sources at scale — web data, government records, private company details, and more. One of our core engineering challenges is building a business identity graph that maps datasets to each other in a way that's performant across millions of businesses, each with thousands of relevant data points. On the data science side, we're identifying the signals that predict risk across a wide range of perils — fire, theft, liability, injury, and beyond. That means applying NLP to text sources like reviews and business filings, running computer vision algorithms on satellite imagery, and building and training our own models alongside cutting-edge open source ones. And underpinning all of it: software that underwriters actually want to use. These are professionals who have spent their careers working around slow, fragmented, difficult tools. We're changing that — building a platform that's fast, intuitive, and purpose-built for how they think and work.