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The Sales Executive will drive commercial growth by securing new relationships with leading US insurers, owning the sales lifecycle, and executing against Kalepa’s sales playbook. Responsibilities include initiating contact with key decision-makers, demonstrating value, and negotiating agreements to deliver ongoing client value.

As a Senior Full Stack Engineer, you will tackle significant engineering challenges involving large data pipelines, distributed systems, and machine learning models. You will collaborate with a diverse global development team and work on innovative technologies that drive performance. Your role will be critical in helping to build and improve the AI Copilot platform that enhances the underwriting experience in commercial insurance.

The Senior Associate for Growth at Kalepa will engage with clients to deliver value through the Copilot SaaS platform, acting as a partner and liaison between clients and the development team. Responsibilities include developing client success functions and managing relationships with a range of insurance carriers.

Kalepa is seeking experienced Sales Executives to drive commercial growth by securing relationships with US insurers. Responsibilities include managing the sales lifecycle, initiating contact with key decision-makers, demonstrating software value, and negotiating agreements to deliver ongoing client value.

As a Senior Full Stack Engineer at Kalepa, you'll develop advanced AI solutions, working with data pipelines and machine learning models in a collaborative environment. Your innovative approach will impact the commercial insurance sector significantly, ensuring faster and more accurate underwriting decisions.

In this role, you will work on cutting-edge technologies involving NLP, data pipelines, distributed systems, and machine learning models. You will tackle challenging problems and collaborate with a team of engineers to build robust infrastructure.

The Senior Backend Engineer will work on cutting edge technology including NLP and machine learning within data pipelines and distributed systems. They will address complex challenges, collaborating with a global engineering team to develop robust infrastructure and optimize performance.