EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
We offer
- We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Relocation opportunities
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
