ITS
Managed IT | Cybersecurity | Cloud | BPOSUPRA
ITS
Managed IT | Cybersecurity | Cloud | BPO
AI Product Owner
Pumpkin AI Platform
Supra Canada Technologies Ltd. Mississauga, OntarioAbout Pumpkin AI
Pumpkin AI is an enterprise agentic AI platform built and operated by Supra ITS, part of the Canon group. The platform combines a library of specialist agents with a central control plane: admins create, entitle and deploy agents;
end users work with them over documents, data, policy and operational systems. Recent delivery includes a Dashboards agent, an eLearning agent that converts uploaded training material into video and audio learning content, and a no-code UI agent builder that lets non-developers assemble their own agents. Pumpkin AI runs in the cloud and on-prem, and is positioned to work alongside Microsoft Copilot and other enterprise AI stacks rather than against them.
The role
We are hiring an AI Product Owner to sit with the Pumpkin AI engineering team every day and own the backlog that turns platform capability into enterprise-ready product. You will be the single voice of the product for the squad: writing and ranking stories, defining acceptance criteria, accepting work, and holding the line on quality and compliance. Your flagship mandate is the governance layer — the controls that make Pumpkin AI protected to sell into regulated, cost-conscious enterprises: spend and cost attribution, security and access control, no-code agent creation in the UI, privacy, and audit compliance. If governance is weak, enterprise deals stall. You own that outcome. This is a hand-on Scrum Product Owner role, not a roadmap-only position. You will be in refinement, daily scrum, sprint review and retrospective with engineers, and you will be expected to reason about agent behaviour, tool calls,



model routing and data boundaries well enough to make real trade-offs in the room.
What You Will Own
The Pumpkin AI product backlog: epics, stories, acceptance criteria, ranking and release scope, traceable from business outcome to merged codeThe governance layer roadmap across cost, security, custom agent development in the UI, privacy and audit complianceAgent lifecycle as a product surface: create, test in sandbox, entitle, deploy, monitor, retireThe no-code UI agent builder experience — what a non-developer can safely build, and what requires engineeringDefinition of done for agent features, including evaluation criteria, failure modes and fail-closed behaviourStakeholder alignment across Supra ITS service delivery, security, client-facing teams and Canon group stakeholdersRelease notes, demo narrative and the sandbox proof shown to clients and prospects before deploymentThe governance layer: what good looks like
Cost: per-agent, per-tenant and per-user spend visibility, model and token attribution, budgets, quotas and alerting — no surprise invoicesSecurity: role-based access control, entitlements, secrets handling, tenant isolation, and agent permissions that are explicit and reviewableCustom agent development in the UI: guardrails, approval workflow and promotion path so business users can build agents without creating shadow ITPrivacy: data residency, PII handling,



retention and deletion, prompt and response redaction, and clear rules on what leaves the tenant boundaryAudit compliance: immutable logging of prompts, tool calls, data access and admin actions, with exports that satisfy SOC 2, ISO 27001 and client audit requestsPolicy as product: controls that are configurable per client, not hard-coded, and demonstrable in a sandbox before a client signsHow You Will Work With The Team
Run the Scrum cadence with the engineering team: backlog refinement, sprint planning, daily scrum, sprint review and retrospectiveWrite stories with testable acceptance criteria;
accept or reject work against them without negotiating the bar down at the end of a sprintPartner with the Architect on ADRs so product decisions and technical decisions are recorded, not rediscoveredWork with QA on test coverage for agent behaviour, and with UX on admin and builder workflowsKeep a sandbox-first discipline: prove behaviour in Admin Sandbox before anything is entitled or deployed to a clientBalance client-driven requests against platform coherence — say no clearly, and explain the trade-offMust-have Qualifications
Proven Product Owner experience in a Scrum team, working with engineers daily — backlog ownership, story writing, acceptance, release scopeExperience leading or owning the product for an Agentic AI team: agents, tool calling, retrieval, orchestration and evaluation in production, not pilotsDemonstrable work on an AI governance or platform control plane: cost controls, access control, privacy, logging and auditEnough technical depth to debug a conversation with the team: you can read an agent trace, reason about a tool failure, and judge whether a control is real or cosmeticEnte

📌 Ai Product Owner (Winnipeg)
🏢 Supra ITS
📍 Winnipeg