AI Lead / Engineering Manager

📋 Description

• Own team coordination, delivery timelines, workload allocation, and project follow-through for a
• Keep work moving: break down ambiguous goals, sequence them with Product, flag slippage early, and
• Give clear, constructive technical feedback in code review, design discussions, and 1:1s, and raise
• Grow the team's capability, including how we use AI tooling to work faster without lowering quality
• Assess the current engineering bar and raise it. Define what "good" looks like for AI-native
• Set and enforce expectations in five areas: observability, testing, security and compliance

🎯 Requirements

• Hands-on technical leadership with real engineering vision: led delivery for a small team, ideally
• A style that raises the bar: direct, specific technical feedback, hold high standards, motivate the
• Delivery discipline: comfortable owning timelines, allocating work, and following projects through
• 7+ years of software engineering experience, with AI features shipped to production (not just
• Strong fullstack fundamentals: comfortable across frontend, backend, and infrastructure
• Practical experience with LLM APIs, prompt engineering, RAG, or similar techniques in live systems

🎁 Benefits

• Ultimate flexibility: 100% remote, work from wherever and whenever you like
• Freedom and autonomy: high-trust team with flexibility to solve problems in your own way
• Minimum bureaucracy: no excessive meetings or red tape, steady and sustainable momentum
• Small & friendly team: mutual help, fun, and camaraderie
• Network: community of entrepreneurial SaaS professionals exchanging ideas and expertise internally
• Flexible time off: recharge when needed