Product Owner

This is a fully remote position, open to applicants in Canada.

📋 Description

• Conduct discovery by mapping existing processes, quantifying pain points and financial impact, as well as identifying areas where AI agents can deliver measurable value.

• Transform business challenges into actionable AI requirements and acceptance criteria in collaboration with the AI Quality Engineer.

• Take ownership of outcome definitions for outcome-based contracts, encompassing measurement, approval, and management of missed thresholds.

• Oversee client-supplied domain experts and address any availability concerns.

• Manage project scope and uphold a well-organized backlog.

• Facilitate weekly client demonstrations, gather feedback, adjust priorities, and guide the team towards high-value tasks.

• Coordinate with business, IT, security, procurement, and legal stakeholders.

• Collaborate with the client’s change and adoption team to enhance system usage.

• Monitor and report on delivery health, burn rate, risks, decisions, and benefits realization.

• Identify commercial risks such as scope creep, inadequate executive sponsorship, and unexpected integration challenges.

⛳️ Requirements

• 3–8 years of experience in product ownership, delivery management, or client-facing consulting, including a minimum of 2 years of software delivery rather than solely program management.

• Proven track record of delivering under fixed-price or outcome-based commercial agreements, where maintaining scope discipline had financial implications.

• Proficiency in agile delivery with a genuine weekly release cadence.

• Technical knowledge adequate to challenge an engineer’s estimates and comprehend why a retrieval pipeline may yield subpar results; coding skills are not necessary.

• Understanding of what LLM-based systems can reliably achieve and their limitations.

• Executive presence suitable for steering committees with client CIOs, COOs, and business unit leaders.

• Experience in insurance, financial services, healthcare, or similarly regulated industries.

• Exceptional written communication skills.

• Legally eligible to work in Canada.

• Willingness to travel to client locations.

• Prior experience with a top-tier strategy consultancy, Big Four, or specialized delivery boutique is advantageous.

• Background as a business analyst, engineer, or data professional prior to transitioning into product roles is a plus.

• Familiarity with AI quality concepts, including evaluation design, acceptance criteria, and human-in-the-loop workflow design is a bonus.

• Experience managing engagements alongside a separate change management partner is advantageous.

• Bilingual proficiency in English and French is a bonus.

🏝️ Benefits

• Initially employed by Bits In Glass, with an intended transition to a permanent position directly with Convene AI after approximately 12–18 months, depending on business needs and transition arrangements.

• Opportunity to collaborate directly with senior operators who have led AI delivery at Fortune 500 scale.

• Significant influence over the evolution of ConveneAI’s delivery model.

• Work within four-person pods where decisions lead to software deployment within days.

• Engage in a culture of collaboration, innovation, and the established consulting expertise of Bits In Glass.

• Contribute to an emerging AI organization during a critical phase of its growth.