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