Metadome.ai - Product Manager - Enterprise Agentic Systems

Key Responsibilities:

Product Strategy & Vision:

• Define and drive the product vision, strategy, and roadmap for enterprise agentic systems
• Identify high-impact use cases for AI agents across enterprise workflows (customer support, operations, analytics, etc.)
• Translate business requirements into scalable product features and capabilities

Agentic System Development:

• Lead development of multi-agent systems with autonomous decision-making capabilities
• Define frameworks for agent orchestration, memory, planning, and tool usage
• Work with engineering teams on integrating LLMs ( GPT-based systems), APIs, and enterprise tools

Stakeholder Management:

• Collaborate with cross-functional teams including Engineering, Data Science, UX, and Sales
• Work closely with enterprise clients to understand needs and customize solutions
• Drive alignment between technical and business teams
• Product Execution
• Own end-to-end product lifecycle: ideation - development - launch - scaling
• Define product requirements, user stories, and acceptance criteria
• Prioritize backlog based on impact, feasibility, and customer value
• Data & Performance Monitoring
• Define success metrics (KPIs) for agent performance, accuracy, and efficiency
• Analyze product usage and feedback to continuously improve system intelligence
• Ensure responsible AI practices including explainability, fairness, and compliance

Required Skills & Qualifications:

• Core Product Management
• 4-10 years of experience in Product Management (preferably in SaaS / Enterprise Tech)
• Strong experience in building and scaling B2B products
• Proven ability to manage complex technical products
• Technical Expertise

Good understanding of:

• AI/ML concepts and lifecycle
• Large Language Models (LLMs) and prompt engineering - APIs, microservices architecture
• Workflow automation platforms
• Familiarity with agentic frameworks (AutoGPT, LangChain, etc.) is a plus
• Analytical & Problem-Solving
• Strong data-driven decision-making skills
• Ability to break down complex systems into actionable product components