Engineering Manager (Delivery & Execution Focus, AI-Native)We are looking for an Engineering Manager who combines strong execution skills with a high sense of ownership. This is not a traditional people-manager role, it’s about driving outcomes, making pragmatic trade-offs, and ensuring delivery in a fast-paced environment.What you’ll doOwn engineering initiatives from concept to production and execute against a high-pressure roadmapTranslate product direction into actionable plans and make clear decisions on priorities, scope, and trade-offsEnsure engineering quality, reliability, and pragmatic technical standards while balancing speed and technical debtIdentify and remove blockers, streamline processes, and step in hands-on when neededMaintain high standards for team ownership, output, and accountabilityWork closely with Product as a delivery co-owner and contribute to senior-level strategy discussionsAI-Native approachThis role requires an Engineering Manager who is AI-native, not AI-curious. You should:Regularly use AI tools to increase personal and team leverageApply AI to accelerate engineering execution and delivery speedCoach teams on responsible, effective AI usageDemonstrate sound judgment on where AI adds value and where it does notThe EnvironmentFully remote teamTrade-offs and technical debt are part of day-to-day decisionsOutcomes matter more than optics, and timely decisions often outweigh consensusDelivery pressure is real and sustainedA good fit if you:Have owned delivery for complex systems or productsHave experience in fast-moving startup or scale-up environmentsTake accountability for outcomes and make decisions with incomplete informationRemove blockers, accelerate delivery, and care about execution qualityUse AI tools as a force multiplier for speed, quality, and impactNot a fit if you:Prefer facilitation over decision-makingAvoid performance conversations or hard trade-offsRely heavily on process rather than executionView AI as optional or experimental