Technical Product Owner

TechDigital Group

Charlotte (NC)

On-site

USD 100,000 - 130,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

A leading technology firm in Charlotte, NC is seeking a seasoned Technical Product Owner to support foundational capabilities for their AI platform. The successful candidate will work closely with stakeholders and engineering teams to drive platform execution and manage the product backlog. Applicants should have significant experience in AI/ML platforms and strong communication skills. This role is vital for delivering impactful technology solutions in a collaborative environment.

Qualifications

  • 5+ years of experience in technology product development.
  • 2+ years of experience working with AI/ML platforms.
  • Experience with AI/ML lifecycle including model training.

Responsibilities

  • Collaborate with the Product Manager to execute product vision.
  • Translate product requirements into actionable features.
  • Maintain and prioritize the product backlog.

Skills

Technical product development
AI/ML platforms
Agile methodologies
Cloud infrastructure
Collaboration tools (Jira, Confluence)

Education

Bachelor's degree in computer science or related field

Tools

Jira
Confluence
Mural

Job description

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
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Technical Product AI
Technical Product AI

Compunnel, Inc. • Charlotte (NC)

On-site
USD 100,000 - 130,000
Technical Product Owner
Technical Product Owner

Compunnel, Inc. • San Francisco (CA)

On-site
USD 110,000 - 150,000
Product Manager
Product Manager

Programmers.io • Atlanta (GA)

On-site
USD 130,000 - 190,000
(US) Product Owner – AI products & projects
(US) Product Owner – AI products & projects

Codvo.ai • Dallas (TX)

On-site
USD 120,000 - 150,000
Product Manager - AI/ML
Product Manager - AI/ML

Relanto • Fremont (CA)

On-site
USD 130,000 - 180,000
Senior Product Owner/ Forward Deployed Executive - AI Delivery
Senior Product Owner/ Forward Deployed Executive - AI Delivery

Provectus • Connecticut

On-site
USD 120,000 - 150,000
Technical Product Owner
Technical Product Owner

Equifax • St. Louis (MO)

Hybrid
USD 100,000 - 130,000
Solutions Analyst III: AI-Driven Data & Platform Lead
Solutions Analyst III: AI-Driven Data & Platform Lead

JPMorgan Chase & Co. • Jersey City (NJ)

On-site
USD 110,000 - 160,000
AI Platform Lead
AI Platform Lead

SeekUp • New York (NY)

On-site
USD 130,000 - 170,000
Software Engineer II – Enterprise AI Products
Software Engineer II – Enterprise AI Products

Jobtailor • Connecticut

On-site
USD 140,000 - 180,000