Engineering Squad Lead

Description This is not your typical leadership role. If you’re looking to manage tasks, run standups, and stay above the code - this position probable isn’t for you. But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading. What we’re actually building At Chargeflow, we’re building systems that don’t just process data - they make decisions. Real-time. At scale. Under uncertainty. Fraud evolves fast. So our systems, and our engineers, need to evolve faster. This is where you come in. What you’ll actually do You’ll lead a team - but you’ll also build with them You’ll make architectural decisions that directly impact how the system scales and behaves You’ll own critical parts of the system - not just people You’ll turn ambiguity into direction (for both product and engineering) You’ll raise the bar: in code quality, system design, and how the team thinks You’ll embed AI into how the team works - not as a tool, but as leverage You’ll help strong engineers become exceptional Requirements What we care about (beyond titles) You’ve led engineers - and made them better You’ve built real systems at scale - and felt the trade-offs You’re still hands-on and want to stay that way You think in systems, not just services You don’t hide behind process - you use it when it helps and ignore it when it doesn’t You take ownership beyond your “scope” AI is part of the job You actively use AI tools (Codex, Claude Code, Cursor…) in your daily workflow You help others use them better You understand where AI accelerates - and where it breaks You’re interested in redefining how engineering teams work with AI - not just individually, but as a system What makes this role different You won’t just manage execution - you’ll shape how we build You won’t just lead people - you’ll lead thinking You’ll have real influence on architecture, product, and engineering culture You’ll work on systems that actually matter - with real scale and real impact You’ll help define what a high-performing AI-native engineering team looks like Stack (for context, not as a checklist) Node.js / TypeScript Distributed, event-driven systems Kafka AWS MongoDB + Postgres Containers (Docker, Kubernetes / ECS) If you want to be a “manager”, this isn’t the role. If you want to build, lead, and rethink how engineering works - we should talk. Super-competitive compensation for those who fit!