Partner with Consumer Operations to define metrics, investigate performance changes, build dashboards/alerts, unify disparate data sources, and translate analyses into actionable recommendations to improve agent efficiency, revenue, and business health.

Lead design and delivery of backend systems powering insurance recommendations. Own projects end-to-end, drive architecture, mentor engineers, ensure system quality, and collaborate cross-functionally to turn product initiatives into scalable, well-tested solutions.

Lead technical integrations with affiliate partners, own inbound data validation and routing, improve and evolve APIs, monitor and ensure high-performance, and build testing/observability for real-time bidding pipelines.

Lead architecture and implementation of conversational AI systems, build scalable backend services and REST APIs, drive high-impact projects, integrate external partners and carriers, collaborate with Data Science on ML/LLM solutions, and ensure platform performance and scalability.

Lead development and lifecycle of yield-optimization predictive models, integrate models into the recommendation engine, improve model accuracy to drive revenue and conversion, match users to optimal offers, and manage external partner relationships while collaborating across engineering and business teams.