Machine Learning Product Owner Jobs

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Product Owner

Infor Atlanta, GA

Atlanta, GA

Today

Full time Artificial Intelligence Machine Learning Product Owner Product Management

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Job Description

In AI Stream, the Product Owner role at Infor focuses on defining and delivering AI capabilities across the HR or Finance product line. You will partner with Product and Engineering stakeholders to prioritize AI use cases and translate AI, machine learning, and generative AI opportunities into measurable product outcomes. The role is based in Atlanta, GA (onsite).

What you’ll be responsible for

Define and maintain the AI vision and roadmap for the HRT product.
Identify, evaluate, 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 guide product decisions.
Define product requirements, acceptance criteria, success metrics, and value propositions for AI capabilities.
Coordinate planning, refinement, and delivery with cross-functional partners including 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.

What you’ll bring

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.
Strong communication skills to convey 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 and field teams including Sales and Customer Success.

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.

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