Product Owner, Artificial Intelligence
Insight Global
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Atlanta, GA · Posted February 19, 2026
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Where Atlanta, GA ranks
Where Atlanta, GA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for education jobs491 openings · of 47
- #1Cities with the most jobs that do not need a four-year degree in the Southeast528 jobs · of 72
- #1Best cities for software and engineering jobs in the Southeast973 openings · of 65
- #2Best all-round cities for remote workers in the Southeast87 / 100 · of 33
- #3Best cities for finance jobs641 openings · of 78
- #3Best cities for clinical jobs152 openings · of 22
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Overview
As Product Owner for Evergreen.AI, you will guide the vision, roadmap, and delivery of the Agent Foundry Data Platform. This platform supports the core mission of Evergreen.AI, which is to incubate, deliver, and scale real world agentic AI solutions. Your work will help teams build enterprise ready systems that combine agents, workflows, knowledge pipelines, evaluations, and secure cloud deployment. You will translate business needs into clear product direction, maintain a healthy backlog, and partner with architects, engineers, and AI specialists to move work from concept into production.
Responsibilities
Product Ownership and Strategy
Define the product vision and roadmap for the Agent Foundry Data Platform.
Translate customer conversations, business goals, and user problems into clear priorities.
Connect the roadmap to the broader mission of Evergreen.AI.
Backlog Management and Agile Delivery
Own the product backlog and write simple, clear, and detailed user stories.
Prioritize features based on business value, user impact, and technical effort.
Lead sprint ceremonies in a collaborative way.
Stakeholder Partnership and Communication
Work with executives, engineers, delivery teams, and users to understand requirements.
Share updates, risks, and tradeoffs in a clear and honest manner.
Represent the voice of the customer and keep teams aligned.
Platform Quality, Governance, and Performance
Track KPIs, usage, adoption, and performance.
Ensure features meet security, scalability, compliance, and reliability standards.
Support production readiness through documentation and validation.
Team Collaboration, Culture, and Growth
Encourage positive teamwork and open communication.
Approach challenges with curiosity and resilience.
Foster a culture of learning and improvement.
Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, Business with a technology focus, or equivalent experience.
5+ years as a Product Owner or Product Manager.
Experience delivering SaaS platforms, AI or machine learning products, or enterprise data systems.
Familiarity with Agile and Scrum practices and tools like Azure DevOps or Jira.
Strong understanding of cloud technologies, with preference for Azure.
Clear communication skills and ability to work across diverse stakeholders.
Comfort working with architects and engineers in technical discussions.
Preferred Qualifications
Master's degree such as an MBA or graduate degree in CS, IS, Data, or Technology Management.
Background in AI, machine learning, synthetic data, or data platforms.
Experience with Microsoft Azure AI and DevOps pipelines.
Product management certifications such as CSPO or Pragmatic.
Familiarity with multi agent systems, evaluation frameworks, or knowledge pipelines.
Product Ownership and Strategy
Define the product vision and roadmap for the Agent Foundry Data Platform.
Translate customer conversations, business goals, and user problems into clear priorities.
Connect the roadmap to the broader mission of Evergreen.AI.
Backlog Management and Agile Delivery
Own the product backlog and write simple, clear, and detailed user stories.
Prioritize features based on business value, user impact, and technical effort.
Lead sprint ceremonies in a collaborative way.
Stakeholder Partnership and Communication
Work with executives, engineers, delivery teams, and users to understand requirements.
Share updates, risks, and tradeoffs in a clear and honest manner.
Represent the voice of the customer and keep teams aligned.
Platform Quality, Governance, and Performance
Track KPIs, usage, adoption, and performance.
Ensure features meet security, scalability, compliance, and reliability standards.
Support production readiness through documentation and validation.
Team Collaboration, Culture, and Growth
Encourage positive teamwork and open communication.
Approach challenges with curiosity and resilience.
Foster a culture of learning and improvement.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, Business with a technology focus, or equivalent experience.
5+ years as a Product Owner or Product Manager.
Experience delivering SaaS platforms, AI or machine learning products, or enterprise data systems.
Familiarity with Agile and Scrum practices and tools like Azure DevOps or Jira.
Strong understanding of cloud technologies, with preference for Azure.
Clear communication skills and ability to work across diverse stakeholders.
Comfort working with architects and engineers in technical discussions.
Preferred Qualifications
Master's degree such as an MBA or graduate degree in CS, IS, Data, or Technology Management.
Background in AI, machine learning, synthetic data, or data platforms.
Experience with Microsoft Azure AI and DevOps pipelines.
Product management certifications such as CSPO or Pragmatic.
Familiarity with multi agent systems, evaluation frameworks, or knowledge pipelines.