Jobs at Lemonade

Manage Lemonade’s global treasury operations, including banking relationships, cash positioning, forecasting, investments, foreign exchange exposure, hedging recommendations, intercompany arrangements, treasury controls, and audit support. Partner with Finance and Accounting on treasury initiatives while ensuring liquidity and regulatory needs support the company’s global growth.

Lead global brand strategy, creative standards, and flagship campaigns end-to-end. Build and mentor the brand and creative team, oversee campaign production and operations, run brand health measurement, and drive market entry and localized brand growth in Europe (UK, France, Netherlands). Partner with founders and execs to define brand narrative and ensure consistent, high-quality creative across channels.

Lead pet insurance pricing and state rating plans; build and integrate ML rating models; design pricing strategy for expansion; support rate filings; partner with Data Science, Underwriting, and Finance; and manage and grow an actuarial analyst team.

Own and grow Lemonade's independent agency channel by developing expansion strategy, prospecting and onboarding partners, managing performance, leading product expansion, analyzing engagement via CRM and Looker, surfacing market insights, and collaborating with cross-functional teams to improve the agent experience.

Design and build high-performance rating services and AI-powered research pipelines for insurance pricing. Architect cross-language systems (TypeScript, Rust, Python), optimize latency-sensitive components, create SDKs and abstractions, and collaborate with actuaries to translate mathematical models into scalable production systems.

Leads IT in Tel Aviv, manages IT Solutionists, and builds autonomous employee experiences through AI-powered automations, agents, workflows, and internal tools. Partners with Product, Engineering, Operations, and Security to identify and deliver high-impact opportunities, while owning workplace technology, networks, vendors, budgets, governance, and technical support. Requires strong system design, AI, integration, prototyping, team leadership, communication, and ambiguity-management skills.

Own and scale a core growth domain within the Car product: define strategy and roadmap, ship and optimize features, and partner with engineers, data scientists, actuaries, designers, marketers, and analytics to drive acquisition, activation, engagement, monetization, and AI-native experiences for autonomous-car insurance.

Build and maintain microservice-based Home product features in TypeScript/NestJS, use internal automation to develop and deploy services, collaborate with Product/QA/Data/ML to meet squad OKRs, own production-grade, scalable code, and improve engineering best practices.

Design, build, and maintain automation, tooling, and AI agents to scale security across applications, cloud, and IT. Evaluate vendor tools, identify attack vectors, partner with product and cloud teams for secure design, triage incidents, and review code for vulnerabilities.

Design, build, and scale a cloud-native ML platform and AI agents. Own end-to-end ML lifecycle (training, testing, deployment, monitoring), architect Kubernetes microservices with infrastructure-as-code, ensure production reliability and performance, and collaborate with engineering, data science, and product teams to align ML projects with business goals.

Lead product positioning, messaging, and go-to-market narratives for new products and major features. Drive qualitative and quantitative customer research, shape launch strategy and copy across landing pages and email funnels, measure and iterate to improve conversion and adoption, and partner cross-functionally to embed messaging early in product development.

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 growth strategy and execution to drive acquisition, engagement, retention, and monetization. Use data, user research, and A/B testing to define KPIs, run experiments, and optimize product experiences. Collaborate cross-functionally with Design, Engineering, Data Science, and Marketing to deliver measurable revenue impact.

Lead long-term vision and architecture for Lemonades AI-powered platform (LoCo). Drive cross-team alignment, own API strategy and adoption, translate technical complexity for leadership, and leverage AI to optimize platform-scale decisions and developer experience.

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.

Design and lead leadership development for managers in an AI-first, high-growth company. Own Manager Seminars, create practical learning assets across formats, use data and People Insights to identify gaps, measure impact, and iterate quickly. Foster peer learning, build toolkits and templates, and support managers in remote/hybrid AI-integrated environments.

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.