AI/ML Product Manager

Job Description

The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.

Note: This is not a normal product manager role, this role is going to be focused on creating a roadmap for a team to follow and help develop AI tools that solve business problems within the Accounting & Finance department.

Key Responsibilities

• Manage all technical aspects of product through product lifecycle

• Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables

• Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization

• Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics

• Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable

• Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered

• Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)

• Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)

• Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning

• Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration

• Break down a medium to complex vision into smaller projects, initiatives or features