Job Description

Product Owner

Department: Development

Employment Type: Full Time

Location: Atlanta

Description

The Product Owner for the AI Stream defines and delivers AI capabilities across the HR or Finance product line. The role partners with Product, Engineering, Data Science, UX, HCM Suite stakeholders, Sales, Customer Success, and customers to establish priorities and translate AI, machine learning, and generative AI opportunities into product outcomes.

A Typical Day in the Life Includes

• Define and maintain the AI vision and roadmap for the HRT product.
• Identify and prioritize AI, machine learning, and generative AI use cases based on customer value, business goals, and technical feasibility.
• Monitor market trends, competitor capabilities, and technology developments to inform product decisions.
• Define product requirements, acceptance criteria, success metrics, and value propositions for AI capabilities.
• Coordinate planning, refinement, and delivery activities with Product, Engineering, Data Science, UX, and HCM Suite teams.
• Gather customer and field feedback, validate concepts, and communicate product direction.
• Create roadmap presentations, product briefs, and demonstrations for internal and external audiences.

Basic Qualifications

• Knowledge of product ownership or product management practices in SaaS or technology organizations.
• Understanding of AI, machine learning, and generative AI concepts; coding is not required.
• Ability to translate technology trends and customer needs into product strategies and use cases.
• Ability to define product requirements, acceptance criteria, priorities, and success measures.
• Ability to communicate technical concepts to technical and nontechnical audiences.
• Ability to coordinate decisions and deliverables across cross-functional teams.
• Ability to collect and apply feedback from customers, Sales, Customer Success, or other field teams.

Preferred Qualifications

• Knowledge of Supply Chain, Finance, HCM, or adjacent HR technology domains.
• Familiarity with data-driven products, analytics, or AI-enabled solutions.
• Knowledge of enterprise SaaS products and integrated product ecosystems.
• Familiarity with market and competitive analysis methods.
• Knowledge of customer discovery and concept-validation practices.
• Familiarity with product planning, backlog refinement, and release processes.
• Ability to develop product presentations, briefs, demonstrations, and enablement materials.