Teams at The Zebra

Own the Applied AI product roadmap, identify consumer problems, and deliver zero-to-one AI features for insurance shopping. Lead rapid prototyping, user testing, experimentation, and AI-assisted development in partnership with engineering, design, and product teams. Define success metrics, analyze quantitative and qualitative results, communicate technical trade-offs, and embed personalized AI, discovery, and conversational capabilities across consumer experiences.

Leads quality strategy and automated testing across functional, integration, and end-to-end applications. Owns test frameworks and infrastructure, integrates testing into CI/CD pipelines, plans release testing with Engineering and Product, tracks quality metrics, improves defect prevention, contributes to tooling standards, and mentors junior quality engineers.

Own commercial monetization and yield optimization across performance marketing marketplaces and digital referral funnels. Optimize traffic allocation, buyer payout thresholds, dynamic pricing, tiering rules, buyer rejection mitigation, and routing strategies to maximize revenue and margin. Partner with Data Science and Engineering on intent prediction, bidding logic, and allocation algorithms. Translate marketplace economics into SQL and Looker models, engineering requirements, dashboards, and performance analytics.