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Hybrid in Hungary, & 6 others
Delivery Management.AI
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We are looking for an AI 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