Terrene Labs joins the FRISS family! Find out how together we will take Commercial Underwriting to the next level! Read more

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Leading P&C carriers use Underwriting AI to provide a true digital experience, gain superior underwriting insight, and reduce their loss ratios. We work each day to bring our customers insights they have never seen before to use in ways they haven’t considered.
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    Join the Team

    Our team members make a strong impact every day for our clients and the customers they serve.
    With all the benefits you expect from a growing tech company, you’ll have a lasting impact on the future of underwriting.
    Open position
    Software Engineer

    We are looking for talented and experienced software engineers who are eager to work in a fast-paced, high growth, collaborative and challenging work environment. Candidates should be experienced and well versed in developing and supporting client facing API’s built on RESTful microservices utilizing Python (and/or Groovy) with NoSQL databases in an AWS environment.

    DevOps Specialist

    We are looking for talented and experienced DevOps specialists who are eager to work in a fast-paced, high growth, collaborative and challenging work environment. Candidates should be experienced with development and operational enablement through automation.  Candidates should be very familiar with a variety of AWS services and have experience in their design, deployment, and management to support distributed customer-facing applications and APIs.

    Data Scientist

    We are looking for talented and experienced data scientists who are eager to work in a fast-paced, high growth, collaborative and challenging work environment. Candidates should be experienced using statistical computer languages to manipulate data and draw insights, as well as, experience working with and creating data architectures.  Candidates should also have knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks, and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

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