AI Native Delivery Manager (AI/Run practice)

We are looking for an AI Native Delivery Manager to lead AI Native pods. In this role, you will manage cross-functional teams of AI-native engineers through their educational cycle and into billable, AI-driven client engagements. This role is a strong fit for experienced Managers with a software engineering background who already have practical experience working with AI-accelerated software development and are ready to make AI Native delivery a core part of their career.

Responsibilities Manage one or several pods through education and live client deliveries Understand how to build and operate within the AI Factory to support delivery Champion AI SDLC and Spec-Driven Development (SDD) practices to ensure teams meet their commitments Coordinate with solution architects, staffing, and delivery teams, surface risks early, and stay accountable for outcomes Ensure artifacts, learnings, and estimation data from your pods flow back to the factory after each engagement Actively experiment with AI tools and approaches outside of formal training Think in terms of delivered features and business value, not just technical execution Act proactively, surface risks early, and take full accountability Be comfortable with rapid change and willing to unlearn old patterns Be ready to share learnings, contribute to the factory, and mentor pod members Requirements Software development background with practical hands-on engineering experience 3+ years of delivery management experience leading engineering teams Proven, hands-on experience building AI agents and implementing AI SDLC on past projects Familiarity with AI technologies and their real-world application in delivery contexts Knowledge of AI SDLC and Spec-Driven Development (SDD) approaches Experience using enterprise AI tools for coding, testing, and design acceleration English proficiency: B2+ level