Actively Hiring
EP
Product Manager - AI Content Framework
EPAM Systems
TS
Skills:
Data Science
Machine Learning
Job Description
Job Title: Product Manager - AI Content Framework
Company: EPAM Systems
Job Category: Data Science
Roles & Responsibilities:
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
* Collaborate with business leaders, domain experts, and end\-users to discover, define, and document comprehensive business requirements
* Evaluate business problems through an AI lens—determining whether a problem is best solved via deterministic software, traditional ML, or generative AI/agentic workflows
* Define, maintain, and communicate the product roadmap, balancing short\-term business wins with long\-term technical architecture sustainability
* Partner 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 outputs
* Own, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering lead
* Translate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routing
* Work with the engineering team to define what success looks like for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
* Actively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customer
Work Location: TS, India
Availability: Full time
Requirements
Requirements
* 10\-0-1 years of experience in Product Management, including defining Product Vision and owning the Product Roadmap
* Expertise in Agile or SAFe frameworks, with extensive experience working as a Product Owner in Scrum or Kanban environments
* Understanding of AI Solutions, AI Content Framework, and AI Risk Management
* Knowledge 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 features
* Capability to manage product lifecycles for non\-deterministic software where AI outputs are not always 100% predictable
* Proficiency in Jira, Confluence, or Azure DevOps
* Showcase of breaking down complex enterprise requirements into logical, incremental software delivery phases using an MVP approach
* Exceptional ability to explain technical AI constraints to business users and business nuances to technical engineers
* English proficiency at an Upper\-Intermediate level (B2\) or higher
* Opportunity to work on technical challenges that may impact across geographies
* Vast opportunities for self\-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
* Opportunity to share your ideas on international platforms
* Sponsored Tech Talks \& Hackathons
* Unlimited access to LinkedIn learning solutions
* Possibility to relocate to any EPAM office for short and long\-term projects
* Focused individual development
* Benefit package:
+ Health benefits
+ Retirement benefits
+ Paid time off
+ Flexible benefits
* Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
Key Skills: Data Science, Machine Learning
Salary: Not disclosed