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Product Owner Artificial Intelligence Jobs (NOW HIRING)

Booz Allen Hamilton

SAFe Agile Product Owner

Mclean, VA · On-site

$77K - $176K/yr

SAFe Agile Product Owner The Opportunity: We are seeking an experienced Product Owner to support ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Clearly Agile Inc.

Technical Product Owner

Tampa, FL · On-site

We are looking for an experienced Product Owner to join the ClearlyAgile team. What you'll be doing ... Familiar with containers, Kubernetes, GenAI, and/or artificial intelligence * 3+ years working in ...

HR Tech Job

Sr Product Owner

Pleasanton, CA · On-site

$194K - $252K/yr

Two years (24 months) of experience in Artificial Intelligence (AI) Strategy in Sales Customer ... Sr Product Owner-related occupation. * Five years (60 months) of experience in Customer ...

Workday, Inc.

Sr Product Owner

Pleasanton, CA · On-site

$194K - $252K/yr

The Product Owner will work hand-in-hand with business partners and Business Technology teams to ... Two years (24 months) of experience in Artificial Intelligence (AI) Strategy in Sales Customer ...

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How much do product owner artificial intelligence jobs pay per year?

As of Sep 10, 2026, the average yearly pay for product owner artificial intelligence in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Product Owner Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Product Owner, Artificial Intelligence

Atlanta, GA • On-site

Evergreen
Construction • 11 - 50 employees
Learn more about Evergreenexternal

Full-time

Re-posted 22 days ago

Key responsibilities

  • Guide the vision, roadmap, and delivery of the Agent Foundry Data Platform.

  • Own the product backlog, write user stories, and prioritize features for development.

  • Collaborate with stakeholders, engineers, and architects to understand requirements and ensure platform quality.

Job description

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.
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.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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