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.ResponsibilitiesCollaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirementsEvaluate business problems through an AI lens—determining whether a problem is best solved via deterministic software, traditional ML, or generative AI/agentic workflowsDefine, maintain, and communicate the product roadmap, balancing short-term business wins with long-term technical architecture sustainabilityPartner with the AI Development Lead to deconstruct high-level product features into comprehensive Work Breakdown Structures (WBS)Write highly descriptive, value-driven Epics and User Stories with clear Acceptance Criteria that account for the non-deterministic nature of AI outputsOwn, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering leadTranslate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routingWork with the engineering team to define what success looks like for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loopsActively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customerRequirements10-15 years of experience in Product Management, including defining Product Vision and owning the Product RoadmapExpertise in Agile or SAFe frameworks, with extensive experience working as a Product Owner in Scrum or Kanban environmentsUnderstanding of AI Solutions, AI Content Framework, and AI Risk ManagementKnowledge of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), and RAG (Retrieval-Augmented Generation)Familiarity with function calling and multi-agent orchestration concepts (no coding required, but strong conceptual grasp is essential)Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation featuresCapability to manage product lifecycles for non-deterministic software where AI outputs are not always 100% predictableProficiency in Jira, Confluence, or Azure DevOpsShowcase of breaking down complex enterprise requirements into logical, incremental software delivery phases using an MVP approachExceptional ability to explain technical AI constraints to business users and business nuances to technical engineersEnglish proficiency at an Upper-Intermediate level (B2) or higherNice to havePrior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI productsCertified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designationBackground in Business Analysis or Systems Analysis with a later specialization in AI/ML productsWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)