Product Owner

1 day ago


Vadodara, Gujarat, India beBeeProductOwner Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Product Visionary

Job Description:

A Product Owner is responsible for developing user stories, translating requirements, producing and managing product roadmaps, and working with agile programming teams.

  • Define Product Vision & Roadmap: Translate business goals into AI/ML-driven product visions aligned with company strategy.
  • Prioritize the Product Backlog: Own and groom the backlog, ensuring the highest-value AI/ML features are prioritized for delivery.
  • Bridge Tech and Business Teams: Act as a liaison between stakeholders and the ML engineering team, ensuring mutual understanding.
  • Convert Requirements into User Stories: Write clear, testable, and technically-informed user stories and acceptance criteria for ML features.
  • Collaborate with AI/ML Engineers: Work closely with data scientists and ML engineers to define model objectives, datasets, and evaluation goals.
  • Evaluate Model Performance & Impact: Assess outputs of ML models using business-relevant metrics (accuracy, ROI, usability, fairness).
  • Drive Agile Ceremonies: Lead sprint planning, backlog refinement, and review meetings, specifically tailored for AI/ML project workflows.
  • Manage Stakeholder Expectations: Communicate progress, trade-offs, and risks effectively to business teams and project managers.
  • Validate Deliverables: Ensure model outputs and ML features meet business needs, user expectations, and ethical standards.
  • Support Go-to-Market & Adoption: Collaborate with marketing, customer success, and support teams to drive internal/external adoption of AI features.

Requirements:

Strong analytical and critical thinking.

Excellent backlog and stakeholder management.

Familiarity with Agile and Scrum methodologies.

Comfort working with JIRA, Confluence, etc.

Basic understanding of Python, API, SQL, and Azure platform is desirable.

Excellent communication and documentation skills.

Problem-solving mindset with adaptability in experimental AI/Bachelors/masters degree in software engineering, Computer Science, or a related field.


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