We are seeking a highly analytical and strategically minded Product Manager for AI Content Framework to drive the vision, strategy, and execution of our AI-driven product portfolio, serving as the bridge between commercial stakeholders and our advanced AI engineering team.

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 transparent 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
- Proven track record 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

Nice to have

- Prior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI products
- Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designation
- Background in Business Analysis or Systems Analysis with a later specialization in AI/ML products

📌 Product Manager - AI Content Framework (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad