AI Native Delivery Manager (AI/Run practice)

Job description

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