AI Product Manager

Position Description:

The Product Manager is responsible for both product planning and product marketing. This includes managing the product throughout the Product Lifecycle, gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, to deliver winning products.

Duties:

• Gather requirements from end users and document in a pre-defined format for the development team to build solutions in an agile environment.
• Provide detailed level of effort estimates for proposed solutions.
• Articulate the benefits and risks to a solution s feasibility and functionality.
• Provide hands-on, expert-level technical assistance to developers.
• Provides experience in web application technologies and middleware solutions.
• Research new technologies and products for their applicability to business processes.
• Must be able to compare various solutions and determine the most suitable.
• Ensures that development efforts are well planned and in agreement with standards.
• Define and track KPIs and success metrics
• Use-case discovery, prompt design, and stakeholder alignment. Draft User Stories and Acceptance Criteria, and manage roadmaps.
• Strategy & Vision: Define the multi-year AI product strategy, creating roadmaps that align with business goals, such as revenue growth or productivity gains.
• Implement responsible AI standards, including model monitoring, bias mitigation, and data security.
• Partner with UX, engineering, sales, and legal teams to ensure product compliance, usability, and market adoption.

General Experience:

• The proposed candidate must have a minimum of five (5) years of experience in product management.
• Technical background as a business analyst
• Strong leadership and communication abilities
• Customer-centric mindset with a passion for solving real-world problems
• Highly organized, self-motivated, and detail-oriented
• Adaptable to fast-changing priorities and environments
• Experience working in Agile/Scrum environments with tools like JIRA, Confluence.
• Excellent communication, stakeholder management, and problem solving skills
• Ability to connect technical performance to business value.
• Strong leadership, communication, and the ability to work through ambiguity.