AI Product Manager

We’re looking for an AI Product Manager who combines strong systems analysis skills, a product mindset, and hands-on understanding of AI to lead the design, development, and implementation of AI Agent solutions across the organization.

In this role, you’ll own the end-to-end Agent Lifecycle — from identifying business problems and defining requirements to solution design, development, deployment, and continuous measurement of business value.

You’ll serve as the technical bridge between business stakeholders, data, and technology teams, ensuring that AI Agents are developed and deployed in a controlled, measurable, responsible, and business-driven manner.

Key Responsibilities

Product Ownership & Requirements Analysis

• Identify business challenges and opportunities for AI-driven solutions.
• Translate business needs into clear functional and technical specifications.
• Create and maintain PRDs, HLDs, user stories, and other technical documentation for development teams.
• Lead the end-to-end Agent Lifecycle in close collaboration with development teams.
• Define Agent capabilities, boundaries, governance, and operating guidelines.

Business Value & Agent Portfolio Management

• Define success metrics and KPIs to measure business impact and ongoing value creation.
• Manage and prioritize the organization's AI Agent portfolio.
• Ensure alignment between business objectives, technical feasibility, and organizational priorities.

Cross-Functional Collaboration & Governance

• Bridge business units, IT, data teams, and senior management, establishing a shared language and vision for AI.
• Ensure data quality, solution reliability, and responsible AI implementation.
• Identify and manage risks, dependencies, and operational challenges throughout the Agent Lifecycle

Requirements

• 3+ years of relevant experience in systems analysis, product management, or a related role.
• Strong systems analysis skills and proven experience writing functional and technical specifications — mandatory.
• Experience working with complex enterprise systems.
• Experience working with data and defining KPIs and success metrics.
• Practical familiarity with AI tools and an understanding of AI-driven solutions.
• Bachelor’s degree in Industrial Engineering and Management, Information Systems, Computer Science, or a related field.

Advantages

• Experience in Product Management or Systems Analysis certifications.
• Experience with Low-Code / No-Code platforms.
• Experience working in large enterprise environments or regulated industries.
• Software development experience.
• Proven ability to translate business requirements into feasible technical solutions.
• Broad understanding of complex organizational processes and systems.
• Experience leading products or projects end to end.