Hosting Manager, Cloud
•Veeamsoftware· 13h
🏷️ Data Science⏰ Full-time🎯 Lead / Principal🇳🇱 Netherlands
13h ago
Kalepa·1 day ago
Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook.
Kalepa is changing that.
Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.”
Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Google, Amazon, Mastercard, and Uber.
Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.
Success at Kalepa is bred from five core principles:
In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena).
Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere.
Salary: $15/hr USD
We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work.
As an intern at Kalepa, you’ll work on real product and R&D systems at the intersection of software engineering and applied AI. Depending on your interests and strengths, you may contribute to backend services, data and ML pipelines, or full-stack features that support our AI Copilot used by commercial insurance underwriters.
You’ll help build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data, including documents, third-party sources, and model outputs. This is hands-on engineering work on problems that matter to the business, not isolated or artificial intern tasks.
You’ll collaborate closely with experienced full-stack, backend, ML, and platform engineers, learning how production systems are designed, built, tested, and operated at scale while contributing meaningful code along the way. We’re a small team where individual contributions have an outsized impact on both our technology and our business.