About the role

Product Owner translating enterprise problems into measurable AI requirements and weekly releases. Owning client outcomes, scope, stakeholder alignment, and commercial risk for Bits In Glass and Convene AI.

Responsibilities

Run discovery by mapping current processes, quantifying pain and financial impact, and identifying where AI agents create measurable value
Convert business problems into testable AI requirements and acceptance criteria with the AI Quality Engineer
Own outcome definitions for outcome-based contracts, including measurement, sign-off, and missed-threshold handling
Manage client-provided domain experts and escalate availability issues
Manage scope and maintain a disciplined backlog
Run weekly client demos, capture feedback, reprioritize work, and direct the pod toward the highest-value work
Align business, IT, security, procurement, and legal stakeholders
Partner with the client’s change and adoption team to drive system usage
Track and report delivery health, burn, risks, decisions, and benefits realization
Surface commercial risks such as scope creep, weak executive sponsorship, and integration surprises

3–8 years in product ownership, delivery management, or client-facing consulting, including at least 2 years shipping software rather than only running programmes
Track record delivering under fixed-price or outcome-based commercial terms, where scope discipline had financial consequences
Fluency in agile delivery at a genuine weekly release cadence
Technical literacy sufficient to challenge an engineer’s estimate and understand why a retrieval pipeline is returning poor answers; coding is not required
Working understanding of what LLM-based systems can and cannot reliably do
Executive presence for steering committees with client CIOs, COOs, and business unit heads
Experience in insurance, financial services, healthcare, or a comparably regulated industry
Excellent written communication
Legally entitled to work in Canada
Willing to travel to client sites
Prior experience at a top-tier strategy consultancy, Big Four, or specialist delivery boutique is a bonus
Background as a business analyst, engineer, or data professional before moving into product is a bonus
Familiarity with AI quality concepts, including evaluation design, acceptance thresholds, and human-in-the-loop workflow design is a bonus
Experience running engagements alongside a separate change management partner is a bonus
Bilingual English and French is a bonus

Initially hired as an employee of Bits In Glass, with the intended transition to a permanent position directly with Convene AI after approximately 12–18 months, subject to business requirements and transition arrangements
Opportunity to work directly with senior operators who have led AI delivery at Fortune 500 scale
Real influence over how ConveneAI’s delivery model evolves
Work in four-person pods where decisions translate into shipped software within days
Collaboration, innovation, and established consulting expertise of Bits In Glass
Opportunity to contribute to an emerging AI organization during an important stage of its growth