Engineering Lead (Player-Coach) - Node.js/React.js - AI-Native Teams

Who we are We’re Qover, a leading insurtech scale-up that has raised $70 million. With an international team of 160+ colleagues based in Brussels, we help companies orchestrate digital embedded insurance experiences. Since Qover was founded in 2016, our co-founders had a clear vision of the future of insurance: it must be simple, transparent and accessible across borders – a global safety net 🌍 We’re well on our way to building that safety net, with a platform that protects millions of users across 32 European countries. We work with top brands like Revolut, Mastercard, BMW, Canyon, Monzo and many others. Visit our website for more about what we do! The Opportunity: Your Next Big Leap As an Engineering Lead at Qover, you will lead a product engineering team as both a people leader and a technically credible player-coach. You will be accountable for your team’s delivery, technical quality, production ownership and growth, in close partnership with Product and Design. You will stay close to the code, the customer problem and the operational reality - not operate as a detached architect or a delivery-reporting layer. At Qover, you’ll help power embedded insurance experiences used by leading brands including Revolut, Mastercard, BMW and Monzo. Our platform operates across 32 countries and supports millions of end users through our partners. You will initially lead one of our core product engineering teams. Depending on organisational needs and your experience, this could include our Policy Management Platform or another strategic domain within Qover’s insurance platform. Lead the Charge: AI-Assisted Engineering You will turn AI into a competitive edge by championing the pragmatic integration of AI tools within your team. Your role involves identifying high-impact applications for coding agents, defining clear and practical guardrails, and mentoring engineers to ensure that human accountability for security and quality remains paramount. - Cultivate a thoughtful AI culture: Foster an environment where agents are used intentionally for implementation, debugging, and documentation to drive meaningful value. - Establish responsible guardrails: Ensure no output is accepted blindly. You will manage data sensitivity and maintain rigorous human review, testing and ownership of AI-generated output. - Coach for excellence: Guide your team on effective workflows, emphasizing strong technical specs and recognising when direct human judgment is more appropriate than automation. - Measure what matters: Focus on outcomes like reduced toil and improved delivery flow rather than simply tracking tool adoption for its own sake. - Scale best practices: Collaborate with Principal and Platform engineers to refine reusable tooling and successful AI strategies across the entire organization. Your Impact: What You’ll Do You will own engineering outcomes end-to-end with your team, contributing from discovery and technical design through implementation, deployment, monitoring and continuous improvement. Foster Talent & Drive Delivery - Champion team execution: Partner with the PM to turn agreed priorities into realistic delivery plans, ensuring transparency around capacity and risks while maintaining a predictable, high-quality shipping cadence. - Cultivate engineering growth: Mentor and develop your team through consistent feedback, performance management, and dedicated coaching to support their professional evolution. - Build a high-trust culture: Promote an environment of psychological safety and accountability where issues are addressed early and improvements are continuous. - Collaborative leadership: Work alongside fellow Engineering Leads to navigate dependencies and optimize cross-team workflows without introducing unnecessary bureaucracy. Stay Rooted in Technical Excellence - Player-coach mentality: Stay engaged with the codebase to provide credible technical guidance—participating in designs, reviews, and incident resolution when r