Product Owner

Backlog Requirement Ownership

• Own and prioritize the

  product backlog

  for AI-enhanced features.
• Gather and translate complex business requirements into clear

  user stories

  ,

  epics

  , and

  acceptance criteria

• Partner with Product Management to break down epics into actionable user stories with clear acceptance criteria.

Cross-functional Execution

• Work closely with engineers and AI/ML practitioners to integrate LLM-based functionality into product workflows
• Act as the voice of the customer in engineering discussions.
• Participate in sprint ceremonies: grooming, planning, demos, retrospectives
• Support the team with clarifications, removing blockers, and decision-making throughout delivery

AI Workflow Design

• Define and refine AI interaction models, including prompt management, feedback loops, and telemetry instrumentation.
• Leverage platform usage data to identify improvement opportunities.
• Track feature success using telemetry, usage feedback, and quality metrics

Delivery Enablement

• Work with Engineers, UX, DevOps., and QA to ensure functional completeness and release readiness.
• Drive feature signoff and release readiness, including services, security, performance, and support.
• Help with go-to-market and release coordination, documentation, and training enablement.
• Work closely with Product Management and Product Marketing to do Sales and Presales enablement on new features, functionality and Roadmap

Customer Analytics Feedback Loop

• Leverage platform usage data to identify improvement opportunities.
• Engage with customers, market experts and internal SMEs to refine roadmap direction.
• Build and run user councils and focus groups to gather feedback and validate product direction.

WHO YOU ARE

3+ years of experience

Experience defining and delivering LLM-powered product features such as copilots, retrieval-augmented chat, or backend agents.

Able to translate complex ML/AI models into practical, testable, and user-facing experiences.

Experience collaborating with AI/LLM/Prompt Engineers or understanding of prompt versioning best practices.

Exposure to real-time inference, observability, or AI ethics in enterprise contexts.

Demonstrated knowledge of Agile/Scrum practices and backlog management

Proven ability to write/refine features, user stories, and acceptance criteria for engineering teams.

Azure DevOps, JIRA

Strong analytical and communication skills; able to break down technical concepts for diverse stakeholders

Ability to interact with executives and senior management in customer accounts.

Demonstrated ability to excel in a fast-paced, dynamic environment