Engineering Manager [AI Business Features]

We are looking for a hands-on Engineering Manager for AI Business Features - the team that turns business and product hypotheses into production AI features. You will lead a cross-functional engineering team, own delivery end to end, and work directly with Product, Data, and AI on scope and prioritization. The role requires enough technical depth to review architecture and challenge design decisions yourself, not through a proxy. The team works in short cycles: hypotheses go to production, get measured, and are then scaled or dropped. Expect a broad portfolio of initiatives rather than one long-running product. Challenges that await you: Lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration Own and drive the development of an AI-powered products from concept to production Ensure strong team performance and reliable, on-time delivery aligned with product and business goals Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions Tackle complex technical and product challenges while maintaining high engineering quality standards Shape the architecture, design, and implementation of scalable backend services and integrations What makes you a great fit: Experience leading engineering teams (hiring, development, performance, and delivery management) Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus Strong technical backgr