Senior ML Product Owner — AI Strategy & Delivery

Ampcus Inc; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Job summary

Ampcus Inc is looking for a Senior ML Product Owner to join our Data Science & AI team in Atlanta, GA. This position involves leading cross-functional agile teams, managing the product backlog, collaborating with technical teams, and defining product vision for ML/AI solutions. Applicants should have 5 years’ experience in a related role, a background in data science, and a strong understanding of machine learning concepts. This contract role may transition to a full-time position based on performance.

Qualifications

• 5 years of experience as a Product Owner, Product Manager, or related role.
• Background in data science, ML/AI research or engineering, or data analytics.
• Understanding of statistical concepts and machine learning concepts.
• Proficiency in SQL databases.
• Experience working with ML/AI teams building customer-facing products.
• Demonstrated ability to convert ambiguous problems into structured product initiatives.
• Experience in an agile environment.

Responsibilities

• Define and communicate a product vision and roadmap for ML/AI-powered solutions.
• Own and prioritize the product backlog, ensuring clarity of requirements.
• Serve as the primary liaison between business stakeholders and technical teams.
• Define success metrics and work with analytics teams to measure product performance.
• Proactively identify and resolve blockers and dependencies.

Skills

Product Ownership

Data Science

Machine Learning

SQL

Agile Environment

Stakeholder Management

Job description

Ampcus Inc is looking for a Senior ML Product Owner to join our Data Science & AI team in Atlanta, GA. This position involves leading cross-functional agile teams, managing the product backlog, collaborating with technical teams, and defining product vision for ML/AI solutions. Applicants should have 5 years’ experience in a related role, a background in data science, and a strong understanding of machine learning concepts. This contract role may transition to a full-time position based on performance.