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AI Product Owner.Injaz - Artificial Intelligence.MIT

Yesterday 2026/08/29
Other Business Support Services
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Job description

Key Result Areas

Product Strategy & Roadmap


  • Define the vision, strategy, and roadmap for AI products in alignment with organizational goals.
  • Translate business needs into AI product requirements and prioritize features based on value and feasibility.
  • Continuously assess market trends, customer feedback, and emerging AI technologies to inform product evolution.

Backlog Management & Delivery


  • Own and manage the product backlog, ensuring clarity, prioritization, and alignment with sprint goals.
  • Collaborate with engineering and data science teams to ensure timely delivery of high-quality AI features.
  • Define acceptance criteria and validate deliverables against business objectives.

Stakeholder Engagement


  • Act as the primary point of contact for business stakeholders, ensuring alignment on priorities and expectations.
  • Communicate product vision, progress, and outcomes to executives and cross-functional teams.
  • Facilitate workshops and demos to gather feedback and drive adoption.

Governance & Compliance


Ensure AI products comply with internal governance frameworks, regulatory requirements, and responsible AI principles.


  • Partner with AI Governance, Risk, and Security teams to embed controls for fairness, transparency, and explainability.

Performance & Value Realization


  • Define KPIs and success metrics for AI products; monitor performance and adoption.
  • Drive continuous improvement through data-driven insights and user feedback.
Knowledge, Skills and Experience

Education: Bachelor’s degree in Business, Computer Science, Data Analytics, or related field (MBA preferred). 


Preferred experience: 


  • 8+ years in product management, with at least 3 years in AI/ML or data-driven products, or
  • Management consulting background with experience in strategy, operating models, and transformation programs, or
  • Startup experience in AI or emerging tech, demonstrating agility and innovation mindset.

Skills & Expertise: 


  • Strong understanding of AI/ML concepts, model lifecycle, and data platforms.
  • Experience with Agile methodologies, backlog management tools (e.g., Jira, Azure DevOps).
  • Familiarity with AI governance, compliance, and ethical AI practices.

Soft Skills: Excellent communication, stakeholder management, and ability to translate technical concepts into business value.



This job post has been translated by AI and may contain minor differences or errors.
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