Product OwnerAI Native

Job Title: Product Owner- AI Native

Duration: Long Term (90 Days Initial Engagement)

Work Mode: Onsite

Work Location: Plano, Tx

We are seeking an experienced Product Owner to lead delivery within an AI-native POD engagement for a technology client in the restaurant and hospitality sector. This is a fully embedded, client-facing role based on-site in Plano, TX. The PO will own the full product delivery cycle within the POD — from outcome definition through sprint execution — and will serve as the primary interface between ISHIR's delivery team and the client's senior stakeholders and SMEs.

• Translate client business outcomes and KPIs into a structured, prioritised backlog with clear acceptance criteria
• Lead sprint ceremonies — planning, standups, reviews, and retrospectives — with minimal oversight
• Work directly with client SMEs to gather domain context, validate priorities, and communicate progress at a senior level
• Ensure every sprint delivers shippable, production-ready output — not prototypes or work-in-progress
• Document and transfer AI-native delivery practices to the client organisation as part of the engagement mandate

• 6+ years as a Product Owner or Product Manager within a software product company — not purely a services or project management background
• Demonstrated ability to own a backlog end-to-end without BA support
• Strong client-facing presence — comfortable presenting to and aligning with senior technology and business stakeholders
• Experience working in fast-paced, iterative agile environments with two-week sprint cadences
• Active use of AI-assisted planning and documentation tools — Notion AI, Linear AI, or equivalent
• Comfortable using AI for story generation, acceptance criteria drafting, and sprint documentation as a standard workflow, not an experiment
• Good to have:
  Domain experience in restaurant technology, hospitality, payments, or retail
• Familiarity with Jira and Linear for backlog and sprint management
• Exposure to agentic or AI product delivery — understanding what it means to build with and around AI systems