Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Develop, test, deploy, and support resilient software solutions for Root’s payments and billing product domain. Collaborate with engineers and stakeholders to understand customer problems, communicate technical work, improve code and processes, and resolve production incidents affecting customers. The role requires software engineering experience, Ruby on Rails or equivalent expertise, and familiarity with React or React Native.

Leads Root’s SEC and US GAAP financial reporting, technical accounting policy, disclosure controls, audit coordination, and accounting standards implementation. Oversees complex accounting analyses involving insurance, investments, debt, leases, and statutory reporting. Partners with cross-functional leaders, auditors, regulators, and investors while improving reporting systems and close processes. Manages and develops the financial reporting team and prepares Audit Committee and Board materials.

Lead development and productionization of telematics pricing and underwriting models. Responsibilities span statistical modeling, feature engineering, dataset and pipeline development, model deployment, monitoring, data quality validation, troubleshooting, regulatory support, and collaboration with pricing, actuarial, product, engineering, and compliance teams.

Leads corporate actuarial activities spanning capital modeling, enterprise risk management, reinsurance, reserving, stress testing, ORSA, and regulatory support. The role develops models, evaluates reinsurance impacts, analyzes reserve adequacy, supports financial strategy, automates actuarial processes, and collaborates with Data Science, Finance, Underwriting, Claims, and Accounting. It also presents technical findings and may mentor junior staff or manage direct reports.

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.

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.

Lead the architecture and development of Root’s machine learning platform for insurance pricing. Build infrastructure for feature pipelines and stores, reproducible training and orchestration, model registries, serving, validation, observability, and research-to-production workflows. Establish versioned contracts and technical standards, automate workflows using LLMs, write and review critical code, influence cross-team strategy, and mentor senior engineers. Collaborate closely with data scientists and researchers to create scalable, reliable, and reproducible ML capabilities.