Technical Product Owner (AI & Agentic Systems)

About the role

A Technical Product Owner for AI & Agentic Systems at TripArc maximizes product value by owning the delivery and continuous evolution of the company's internal LLM-powered and agentic platforms. They serve as the primary point of contact between travel advisor end-users, internal business stakeholders, and the development pod responsible for these systems, translating the capabilities and constraints of large language models, retrieval-augmented generation pipelines, and agentic frameworks into clearly defined backlog items. The Technical Product Owner is solely responsible for maintaining the Product Backlog at a pod level, using input from the Senior Product team, the development team, and direct end-user feedback to prioritize and communicate backlog items ahead of all Scrum ceremonies. They ensure the Product Backlog is visible, transparent, and understood at all times. Even where responsibilities such as technical ticket writing are delegated to a developer lead or architect, the Product Owner remains accountable for the outcome. Working within the Trifecta (Product, UX, Development) model, the Technical Product Owner maintains a deep understanding of AI system behaviour, output quality, and the advisor workflows these systems support. They anticipate the needs of stakeholders across the organization, including those not directly involved in day-to-day delivery, and ensure that all requests for backlog changes are evaluated and approved through them.

Responsibilities

• Conduct needs assessments with end-users and internal stakeholders - including the Senior Product Manager, and business leadership - to identify requirements and translate them into features or user stories
• Develop and maintain a working understanding of the LLM architecture underpinning the platform, including retrieval-augmented generation (RAG) pipelines, prompt engineering patterns, tool/function calling, and agentic orchestration frameworks
• Define and maintain AI output quality standards; design and document evaluation criteria (e.g., response accuracy, latency, hallucination rates, retrieval relevance) to guide development and QA
• Collaborate with engineers and architects on decisions relating to model selection, context window management, embedding strategies, knowledge base curation, and agentic tool design
• Translate advisor workflows and domain-specific terminology - including travel industry concepts, supplier data structures, and booking logic - into structured system requirements that the development team can implement
• Create and manage the Product Backlog, including prioritization, grooming, and communication to the pod ahead of all Scrum ceremonies
• Identify gaps between the system's current capabilities and advisor needs; propose and scope solutions that leverage agentic patterns (multi-step reasoning, tool use, memory, search) appropriately
• Write acceptance criteria and user stories with sufficient precision to eliminate ambiguity for the development team, including edge cases related to AI response quality and failure modes
• Manage and coordinate beta programs for AI feature releases, including feedback collection, issue triage, and iteration planning
• Evaluate new AI tools, frameworks, and model releases independently; produce structured assessments against internal capability requirements
• Coordinate with the Solutions & Support team and other internal stakeholders to ensure AI system changes are understood, testable, and supportable
• Investigate and analyze problems, AI system behaviour, and user requirements in order to recommend appropriate solutions
• Prepare detailed flow charts and diagrams outlining system capabilities, agentic tool flows, and retrieval architectures
• Document system behaviour, design decisions, and known limitations for future reference
• Support the Senior Product Manager in the product roadmap process and long-term capability planning for AI-driven systems
• Prepare and facilitate planning and refinement ceremonies within the Scrum team
• KEY SKILLS / EXPERIENCE
• Bachelor's degree in Business, Information Science, Computer Science, or a related field; a combination of education and suitable work experience will be considered
• 3-5 years of experience i

Additional Information

At Range Group we believe in the power of the professional travel advisor. We represent over $4.5 billion in annual travel sales. All our investments stem from a common thesis, that travel advisors add real value to a trip. Travel advisors when equipped with technology and 24/7 support are irreplaceable. Equally important is our philanthropy. Range Foundation channels 10% of group profits to social impact. From exploration grants, improved access to education, new discoveries on sea and land, cultural infrastructure, and helping our global neighbors in times of need - we are investing to build a better future. This is a hybrid position with currently 2 days a week onsite from our office located at 2 Queen St. E in Toronto, ON.

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