
1001 - 5000 employees
Founded 2015
π Automotive
πΌ Consulting
π‘οΈ Insurance
π° $200M Post IPO debt on 2024-11
Automotive β’ Consulting β’ Insurance
Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.
π June 24
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1001 - 5000 employees
Founded 2015
π Automotive
πΌ Consulting
π‘οΈ Insurance
π° $200M Post IPO debt on 2024-11
Automotive β’ Consulting β’ Insurance
Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.
β’ Advance Rootβs performance marketing capabilities through improvements in bidding systems, automation, and applied machine learning β’ Lead and develop a multidisciplinary team responsible for the deployment, optimization, and performance of a nine-figure annual marketing budget β’ Drive fast, disciplined experimentation across channels and partners β’ Develop strategic relationships with marketing and technology partners β’ Align priorities across Marketing, Analytics, Engineering, and Product
β’ Advanced degree in a quantitative discipline (PhD preferred) β’ 8+ years applying advanced quantitative methods to drive significant business impact β’ 4+ years leading technical organizations, with a track record of developing leaders β’ Experience building and deploying statistical and machine learning systems in production environments β’ Proficient with AWS (or analogous) platforms β’ Excellent communication skills
β’ Eligible for competitive bonus and equity offering
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