Back to SearchProduct Manager - AI Content Framework
Office in India: Hyderabad
Product Management& 6 others
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We're looking for an analytical and strategic Product Manager for AI Content Framework to lead vision, strategy, and execution across our AI-driven product portfolio, acting as the connector between commercial stakeholders and our advanced AI engineering team.
Responsibilities
- Partner with business leaders, subject matter experts, and end-users to uncover and document detailed business requirements
- Apply an AI-informed lens to business problems, deciding whether deterministic software, traditional ML, or generative AI/agentic workflows offer the right solution
- Build and communicate a product roadmap that balances quick business wins against long-term architectural sustainability
- Break down major product features into detailed Work Breakdown Structures alongside the AI Development Lead
- Produce clear, value-focused Epics and User Stories, with Acceptance Criteria that reflect the unpredictable nature of AI outputs
- Curate and rank the product backlog according to ROI, user impact, and dependencies flagged by engineering
- Turn business rules and domain expertise into logic engineers can use for agent prompts, tools, and cognitive routing
- Set success metrics for AI agents together with engineering, covering benchmarks, evaluation datasets, and feedback loops
- Represent the customer's perspective in standups, sprint planning, and sprint reviews
Requirements
- 10-15 years of IT experience, including a strong background in Product Management with ownership of roadmaps and vision
- Solid history serving as Product Owner or Product Manager within Agile or SAFE frameworks
- Working knowledge of Generative AI, LLMs, RAG, function calling, and multi-agent orchestration
- Familiarity with AI Solutions design and AI Content Framework development
- Ability to manage AI-related risks
- A track record of mapping processes, spotting bottlenecks, and calculating automation ROI
- Experience handling non-deterministic software lifecycles where AI behavior isn't always predictable
- History of turning large enterprise requirements into staged, incremental deliveries via MVP methods
- Skill in bridging technical AI limitations and business context for different audiences
Nice to have
- Experience as Product Owner or Manager for data science, ML, or generative AI offerings
- CSPO or PSPO certification
- A Business or Systems Analysis background with later focus on AI/ML