AI Native Delivery Manager

We are looking for anAI Native Delivery Manager to lead high-performing, cross-functional AI-native delivery pods across production client engagements. In this role, you will be responsible for orchestrating end-to-end software delivery by leveraging AI-accelerated Software Development Life Cycle (AI SDLC) models, Spec-Driven Development (SDD), and modern AI coding infrastructure.

This role is ideal for experienced Delivery Managers or Engineering Managers with a strong software engineering background who have actively integrated AI tools into their delivery workflows and are passionate about setting new benchmarks for software delivery speed and quality.

Responsibilities

• Lead AI-Native Pods: Oversee and manage cross-functional engineering pods, ensuring predictable, high-quality delivery across billable client engagements
• Champion AI SDLC & SDD: Drive adoption of Spec-Driven Development (SDD) and AI-assisted workflows (coding, testing, architecture, and documentation) to maximize delivery velocity and code quality
• Delivery Governance & Execution: Manage backlog execution, track key performance metrics (throughput, lead time, quality gates), and ensure delivery commitments are consistently met
• Stakeholder & Architect Alignment: Partner closely with Solution Architects, Product Owners, and Client Delivery Leads to proactively manage scope, identify risks early, and unblock engineering teams
• Continuous Feedback & Knowledge Capture: Capture delivery metrics, harvest AI artifacts, spec patterns, and post-engagement insights to continually refine and scale the broader AI delivery ecosystem

Requirements

• Engineering Background: Proven background in software engineering (formerly an engineer, tech lead, or hands-on manager) with a solid understanding of modern software architecture and development pipelines
• Delivery Leadership: 3+ years of experience as a Delivery Manager or Engineering Manager leading technical teams in agile client engagements
• AI Tooling & SDLC Proficiency: Practical experience using AI-accelerated development tools (e.g., GitHub Copilot, Cursor, Claude Code, etc.) and integrating them into team workflows
• Agile & SDD Mastery: Deep understanding of Spec-Driven Development, user story decomposition, prompt engineering for development, and modern CI/CD practices
• Outcome & Value Driven: Focused on delivering tangible business value, velocity metrics, and production-ready features rather than tracking vanity activities
• Proactive Ownership: Demonstrates strong accountability, surfaces delivery risks early, and effectively bridges technical teams with client stakeholders
• Adaptability & Continuous Learning: Passionate about staying ahead of rapid advancements in AI tools, agentic workflows, and emerging delivery paradigms
• Communication: Strong English communication skills (B2+/C1 level) with the ability to articulate technical trade-offs and delivery progress to senior leadership and clients