We are seeking a seasoned and motivated Technical Product Owner to support the development of foundational capabilities for Client AI Platform. This role will work closely with the Product Manager to help define and deliver platform features such as APIs, LLM hub components, data connectors, and cloud infrastructure enhancements. The ideal candidate will have a strong understanding of AI/ML technologies and a passion for building scalable, secure, and high-performing platforms. In this role, you will:
Support Product Vision and Strategy – Collaborate with the Product Manager to understand and execute the product vision and roadmap for core AI/ML platform capabilities.
Drive Platform Capability Execution – Translate product requirements into actionable features and user stories and acceptance criteria for engineering teams. Focus areas include APIs, LLM Hub integration, data connectors, and cloud infrastructure.
Backlog Management and Planning – Maintain and prioritize the product backlog. Ensure timely delivery of features by working closely with engineering, data science, and DevOps teams.
Cross-functional Collaboration – Partner with cross-functional teams to ensure alignment on goals, timelines, and deliverables. Facilitate agile ceremonies and support sprint planning and reviews.
Stakeholder Communication – Author clear and concise status updates, executive presentations, and stakeholder communications. Manage expectations and escalate risks proactively.
Stakeholder Engagement – Gather and refine requirements from stakeholders across business units, data scientists, engineering, security, and legal teams. Ensure feedback is incorporated into product iterations.
Monitor Performance and Feedback – Track feature adoption and platform usage metrics. Use insights to recommend improvements and inform future development.
Stay Current with Industry Trends – Maintain awareness of emerging technologies and best practices in AI/ML platforms, Generative AI and cloud infrastructure.
Required Qualifications:
5+ years of experience in technology product development, business analysis, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
2+ years of experience working with AI/ML platforms, APIs, or cloud infrastructure (GCP, Azure, or AWS)
Experience with the AI/ML lifecycle, including data ingestion, model training, deployment, and monitoring
Experience working in Agile environments and using collaboration tools like Jira, Confluence, and Mural
Desired Qualifications:
Bachelor's degree or higher in computer science, engineering, data science, or a related field
Experience with MLOps or LLMOps tools and practices
Exposure to Generative AI technologies (e.g., LLMs, diffusion models)
Understanding of platform security, compliance, and cloud optimization
Strong communication and collaboration skills
Ability to work independently and manage multiple priorities
Numbers & Facts
Location
Charlotte, NC
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Atlassian JIRAunmatched
Backlog Prioritizationunmatched
Best Practicesunmatched
Business Analysisunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Data Modelingunmatched
Data Scienceunmatched
DevOpsunmatched
Emerging Technologyunmatched
GCP (Good Clinical Practices)unmatched
Industry/Trade Analysisunmatched
Legalunmatched
Metricsunmatched
Microsoft Windows Azureunmatched
Militaryunmatched
Multitaskingunmatched
Performance Analysisunmatched
Product Backlogunmatched
Product Developmentunmatched
Product Planningunmatched
Product Strategyunmatched
Product Supportunmatched
Requirements Managementunmatched
Scalable System Developmentunmatched
Sprint Planningunmatched
Team Playerunmatched
Time Managementunmatched
Writing Skillsunmatched
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