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Product Manager - AI Content Framework
EPAM Systems, Inc.
Hyderabad, IND
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago
AgileSAFeGenerative AILLMRAGfunction calling
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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 to determine whether they are 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
- Write highly descriptive, value-driven Epics and User Stories, and define 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 success criteria for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
- Participate in daily standups, sprint planning, and sprint reviews, acting as the voice of the customer
Requirements
- 10-15 years of overall experience in IT, with a proven track record in Product Management, owning Product Roadmap and Product Vision
- Extensive experience working as a Product Owner or Product Manager in Agile or SAFE environments
- Understanding of Generative AI, LLM capabilities, RAG, function calling, and multi-agent orchestration
- Knowledge of AI Solutions and AI Content Framework development
- Competency in AI Risk management
- Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation features
- Comfort with managing product lifecycles for non-deterministic software where AI outputs are not always fully predictable
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