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 seeking a highly analytical and strategically minded Product Manager for AI & Agentic Products to drive the vision, strategy, and execution of our AI-driven product portfolio.
In this role, you will serve as the bridge between commercial stakeholders and our advanced AI engineering team.
You must possess a deep understanding of business domains alongside a strong technical grounding in Artificial Intelligence, Large Language Models (LLMs), and autonomous agent workflows. Working closely with our AI Development Lead, you will translate high-level business requirements into granular user stories, actively participate in building Work Breakdown Structures (WBS), and ensure the engineering team is building AI solutions that deliver measurable business impact.
Responsibilities
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Collaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirements
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Evaluate business problems through an AI lens—determining whether a problem is best solved via deterministic software, traditional ML, or generative AI/agentic workflows
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Define, maintain, and communicate the product roadmap, balancing short-term business wins with long-term technical architecture sustainability
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Partner with the AI Development Lead to deconstruct high-level product features into comprehensive Work Breakdown Structures (WBS)
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Write highly descriptive, value-driven Epics and User Stories with clear Acceptance Criteria that account for the non-deterministic nature of AI outputs
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Own, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering lead
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Translate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routing
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Work with the engineering team to define what success looks like for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
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Actively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customer
Requirements
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10-15 years of experience in Product Management, including defining Product Vision and owning the Product Roadmap
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Expertise in Agile or SAFe frameworks, with extensive experience working as a Product Owner in Scrum or Kanban environments
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Understanding of AI Solutions, AI Content Framework, and AI Risk Management
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Knowledge of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), and RAG (Retrieval-Augmented Generation)
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Familiarity with function calling and multi-agent orchestration concepts (no coding required, but strong conceptual grasp is essential)
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Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation features
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Capability to manage product lifecycles for non-deterministic software where AI outputs are not always 100% predictable
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Proficiency in Jira, Confluence, or Azure DevOps
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Showcase of breaking down complex enterprise requirements into logical, incremental software delivery phases using an MVP approach
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Exceptional ability to explain technical AI constraints to business users and business nuances to technical engineers
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English proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
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Prior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI products
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Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designation
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Background in Business Analysis or Systems Analysis with a later specialization in AI/ML products
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
