Teams at Kueski

Build AI-native engineering foundations, agentic workflows, developer tools, retrieval and knowledge systems, evaluation harnesses, observability, and safety guardrails. Ship high-stakes AI capabilities in a regulated lending environment while ensuring PII protection, model risk management, auditability, and measurable impact. Influence technical direction across teams, mentor engineers, and transform existing services and data platforms for scalable AI adoption.

The Analytics Manager will lead marketing attribution strategies, design data tracking infrastructure, analyze marketing data, and optimize campaigns based on insights. This includes collaborating cross-functionally to improve budget allocation and campaign performance while ensuring data integrity and fostering best practices across teams.

Own Kueski’s lifecycle marketing strategy and MarTech stack across email, push, SMS, WhatsApp, in-app, and web channels. Build data-driven, event-triggered journeys, personalization, segmentation, measurement, and experimentation programs. Govern and optimize CRM architecture, eliminate manual data processes, establish scalable standards, and manage lifecycle KPIs. Collaborate with Product, Data Engineering, and Data Science to improve tracking, integrate predictive models, and drive acquisition, activation, retention, and conversion.