Top Tech Jobs & Startup Jobs

Build and operate production LLM agent systems for customer service, including real-time voice agents, knowledge base design, evaluation experiments, cost tracking, guardrails, and scalable TypeScript/Node backend services on Kubernetes/AWS.

Lead automation and self-service initiatives for Lemonade's claims and customer touchpoints, using GenAI and LLMs. Define product strategy, collaborate with designers, engineers, and analysts, translate vision into requirements and prototypes, prioritize work, and scale systems to improve operational efficiency and customer experience.

Build and maintain core platform services and APIs for distributed microservices, improve developer efficiency with tools and infrastructure, ensure service stability and scalable communication patterns, work with AWS and infrastructure-as-code, and partner with DevOps for deployment and monitoring.

Lead multiple engineering domains to scale core product and platforms, drive strategic initiatives for engineering leverage, partner with product and tech leadership, architect scalable platforms, embed AI into development, and attract and retain high-performing engineers while maintaining high standards and accountability.

Lead technical vision and architecture for the Data Platform across Data Engineering Infra, ML Platform, and Data Warehouse teams. Design and implement data lakes/warehouses, batch and streaming pipelines, ensure data quality and performance, build ML infrastructure (feature stores, real-time models, PIT retrieval), collaborate with cross-functional teams, mentor engineers, and uphold engineering standards.

Lead zero-to-one strategy and execution for scalable automation and GenAI infrastructure. Map and automate complex multi-step workflows using LLMs, partner with cross-functional teams, own foundational roadmaps, and mentor organization-wide systems thinking.

Lead profitability and growth for Lemonade's Pet insurance line by driving strategic, cross-functional initiatives. Act as a mini-COO: analyze business challenges, translate data into recommendations, execute projects end-to-end, influence leadership decisions, and partner with Product, Actuarial, Finance, and Revenue to optimize performance.

Lead car insurance pricing strategy by identifying opportunities, building and improving pricing and risk models using actuarial methods, ML and AI tools, partnering with Data Science, Product, Engineering and Finance, defining metrics (loss ratio, rate adequacy, conversion, retention), and translating complex pricing problems into scalable product and platform requirements.

Build and maintain microservice backend features in TypeScript/NestJS, own domain quality and scalability, collaborate with Product/QA/Data/ML, mentor engineers, and deploy production-grade services.

Lead development and production deployment of advanced ML/AI pricing models across Home, Renters, Car, and Pet lines. Own end-to-end projects, align stakeholders, mentor junior data scientists, set technical standards, and drive adoption of advanced data science practices within Insurance.