Jobs at Root

Lead and develop a team of partnership analysts to evaluate, optimize, and scale partner relationships. Design experiments, forecasting and ROI models, build reporting/dashboards, run cohort/funnel/retention analyses, own testing frameworks, and provide data-driven recommendations to cross-functional partners.

As a Lead Machine Learning Engineer at Root, you'll build scalable ML systems, partner with data scientists, and improve operational practices for customer lifetime value modeling.

Lead a multidisciplinary team to design, deploy, and optimize ML-driven bidding systems and measurement for a nine-figure marketing budget. Drive experimentation, partner strategy, media-mix optimization, and end-to-end measurement while aligning Marketing, Analytics, Engineering, and Product to improve marketing ROI and scale performance.

The Principal Software Engineer will lead technical initiatives, align cross-functional teams, establish standards, and guide multiple engineering teams towards strategic objectives, driving large-scale improvements in business outcomes.

The Senior Engineering Manager leads the Data Platform team, overseeing data engineers, managing data pipelines, and driving Root's data strategy across business functions.

Lead state-based strategy for Roots auto insurance markets: analyze market performance, recommend pricing/underwriting/product changes, drive cross-functional execution, shape regulatory filings, and align internal and external stakeholders to support profitable growth.

Lead consolidation of customer email and SMS into a centralized CRM (Braze), design and optimize multi-channel customer journeys, manage deliverability and sender reputation, build segmentation and experimentation frameworks, partner cross-functionally to implement integrations and measure campaign performance.

Manage and optimize state-specific auto insurance products by setting rates, customizing offerings, monitoring KPIs, analyzing performance, coordinating with actuarial, regulatory, underwriting, and cross-functional teams, and managing external regulatory relationships to drive profitable growth.

Lead vision, strategy, and roadmap for pricing platforms, owning internal Rating Plan Manager and tooling to speed model deployment, improve workflow reliability and observability, enable self-service experimentation, and support regulatory/state-level pricing needs through cross-functional collaboration.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.