Root
Root Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers supplemental life insurance
Offers life insurance
Offers company equity
Offers dental insurance
Offers health insurance
Offers mental health benefits
Offers Flexible Spending Account (FSA)
Offers vision insurance
Offers Health Savings Account (HSA)
Offers generous parental leave
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers an Employee Assistance Program (EAP)
Offers generous PTO
Provides paid holidays
Provides bereavement leave
Offers paid volunteer time
Provides paid sick days
Career Growth + Development
Provides customized development tracks
Job training & conferences
Company Culture
Offers a remote work program
Provides free snacks and drinks
Offers legal assistance
Provides a mobile phone discount
Recently posted jobs
Automotive • Insurance • Machine Learning • Mobile • Software
Lead financial data engineering initiatives involving commissions, incentive programs, and backend financial systems. Build scalable, accurate, and reliable data pipelines, platform tooling, partner integrations, analytics infrastructure, and data science infrastructure. Shape technical strategy and roadmaps, collaborate with Finance, Product, Data Science, and Engineering, mentor engineers, contribute code, lead incident response, and establish engineering standards.
Automotive • Insurance • Machine Learning • Mobile • Software
Lead and grow AI Platform and AI Enablement engineering teams building infrastructure, tooling, and integrations for AI features. Define AI engineering roadmap with product and data science partners, set standards for reliability, observability, security, and responsible AI, manage and develop engineers, engage in code/design reviews, and coordinate cross-team delivery with Platform and Data teams.
Automotive • Insurance • Machine Learning • Mobile • Software
Lead performance marketing data science initiatives focused on lead segmentation, bidding optimization, targeting, and marketing spend allocation. Develop and deploy production-ready machine learning systems, establish research and ML operations roadmaps, build monitoring frameworks, and identify high-impact opportunities. Partner with engineering, marketing, vendors, and executives while mentoring data scientists and machine learning engineers and promoting rigorous, maintainable, and reproducible practices.
