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HRConnects
Posted 26 days agoVerified live 1d ago

AI Product Owner

Brief overview

Remote
AI/ML Product ManagementConversational AILarge Language Models (LLMs)Requirements AnalysisProduct RoadmappingUser Stories and Acceptance CriteriaAgile/ScrumGCPVertex AICCAIAI Model EvaluationROI Optimization

About the company

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HRConnectshrconnects.com

HRConnects is your complete resource for human resource management and recruitment services. We cater to organizations in various industries.

Job description

Summary

HRConnects is seeking an AI Product Owner to lead the development of AI-driven products and solutions. The role owns product vision, strategy, roadmaps, backlogs, requirements, Agile delivery, success metrics, and quality evaluation for conversational AI and LLM-based initiatives.

Responsibilities

  • Define and drive the product vision, strategy, and roadmap for AI/ML products, including conversational and LLM-based solutions
  • Manage product backlog, write detailed user stories, and define acceptance criteria
  • Coordinate with cross-functional teams including engineering, design, and business stakeholders to ensure successful product delivery
  • Lead Agile/Scrum ceremonies and facilitate effective communication across teams
  • Identify and establish success metrics, evaluate AI models, and ensure quality and performance standards are met
  • Define requirements, prioritize features, and make trade-offs to balance scope, schedule, and resources
  • Stay informed about emerging AI technologies and industry trends to continuously improve product offerings
  • Collaborate with evaluation teams to analyze data and optimize ROI for AI initiatives

Skills

  • Proven experience in product management for AI/ML or GenAI products, especially conversational AI or LLM-based solutions
  • Strong understanding of requirements analysis, ROI optimization, and developing product roadmaps
  • Ability to write user stories and acceptance criteria
  • Experience running Agile/Scrum ceremonies
  • Excellent stakeholder coordination skills
  • Familiarity with GCP, Vertex AI, CCAI, or comparable cloud AI platforms
  • Analytical skills to define success metrics and evaluate AI models
  • Willingness to work onsite three days a week
  • Strong understanding of AI platforms like GCP / Vertex AI / CCAI is a plus
  • Ability to thrive in a fast-paced environment with evolving priorities
  • Experience in healthcare or other regulated industries
  • Additional knowledge of AI evaluation and quality data
  • Certifications in Agile or Product Management
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master's preferred
  • 3+ years of product management experience, especially within AI or cloud-based platforms
  • Demonstrated success in managing AI or software products from concept to deployment

Qualifications

Must Haves

  • Proven experience in product management for AI/ML or GenAI products, especially conversational AI or LLM-based solutions
  • Strong understanding of requirements analysis, ROI optimization, and developing product roadmaps
  • Ability to write user stories and acceptance criteria
  • Experience running Agile/Scrum ceremonies
  • Excellent stakeholder coordination skills
  • Familiarity with GCP, Vertex AI, CCAI, or comparable cloud AI platforms
  • Analytical skills to define success metrics and evaluate AI models
  • Willingness to work onsite three days a week
  • Strong understanding of AI platforms like GCP / Vertex AI / CCAI is a plus
  • Ability to thrive in a fast-paced environment with evolving priorities

Nice to Haves

  • Experience in healthcare or other regulated industries
  • Additional knowledge of AI evaluation and quality data
  • Certifications in Agile or Product Management
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master's preferred
  • 3+ years of product management experience, especially within AI or cloud-based platforms
  • Demonstrated success in managing AI or software products from concept to deployment

Benefits

  • Flexible work schedule with three days onsite per week

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