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
Requirements
- 3+ years of delivery management experience leading engineering teams
- Software development background with practical hands-on engineering experience
- 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
- Familiarity with AI SDLC and Spec-Driven Development (SDD) approaches
- Familiarity with Enterprise AI tools for coding, testing, and design acceleration
- Curiosity-Driven: Actively experiments with AI tools and approaches outside of formal training
- Outcome-Oriented: Thinks in terms of delivered features and business value, not just technical execution
- Ownership Mentality: Acts proactively, surfaces risks early, and takes full accountability
- Growth Mindset: Comfortable with rapid change and willing to unlearn old patterns
- Collaborative: Ready to share learnings, contribute to the factory, and mentor pod members
- English proficiency: B2+ level
