Top Product Owner Jobs in Toronto

Owns a portfolio of customer-domain data products supporting Customer Success, Support, Product, and Sales. Leads data maturity projects, roadmap prioritization, requirements definition, data mart and metric design, quality and governance, privacy, adoption, and stakeholder alignment. The role bridges business and analytics engineering teams, guiding technical delivery and ensuring reliable, discoverable, and valuable data products.

Lead product ownership for Salesforce-based digital agriculture solutions: define and execute roadmaps, translate features into user stories, prioritize backlogs, work with Data & Analytics to deliver AI-driven capabilities, coordinate global stakeholders, and measure product performance to drive digitization of grower relationship management.

Own the partner-facing product backlog for an AI-first payment gateway migration. Translate commercial and technical partner needs into requirements, user stories, API specifications, acceptance criteria, and delivery plans. Collaborate closely with Engineering, Product, Risk, Commercial, and Partner Success to prioritize, validate, launch, and iterate payment features. Lead pilots, UAT, migration cutovers, stakeholder communication, and partner discovery. Apply AI tools throughout requirements, prototyping, testing, documentation, and software delivery.

Senior product owner responsible for defining product vision and multi-year roadmaps, leading end-to-end delivery of complex programs, and advising senior leadership. Drives requirements analysis, solution design, KYC/client lifecycle improvements (including Fenergo), data and AI opportunities, risk and control compliance, and cross-functional stakeholder alignment. Manages teams, delivery governance, and executive communications to ensure timely, compliant delivery of strategic initiatives.

The Technical Product Owner Internship involves managing the product backlog, defining technical specs, coordinating releases, and prioritizing features while aligning with the company's strategic goals.

Owns product definition quality for complex data product opportunities, from problem framing through Ready-to-Build handoff. Authors product specifications, metric tables, and agent context documents; makes deployment channel decisions; maintains business context layers; and represents product definition in reviews with Platform Engineering and Data Science/ML. Establishes standards, coaches Solutions Analysts without formal authority, and ensures clean technical handoffs and well-defined model requirements.

Lead a development pod to deliver customer-focused third-party risk management product increments. Maintain and prioritize the product backlog, align roadmaps with stakeholders, run agile ceremonies, manage risks/dependencies, measure product success, and drive continuous improvement and compliance with TPRM policies.

Own product vision and roadmap, translate business and user needs into prioritized backlog and user stories, collaborate with cross-functional teams, manage releases (UAT, documentation, training), measure outcomes, and support product lifecycle and issue resolution.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Own the vision, roadmap, and backlog for enterprise reporting, semantic models, Microsoft Fabric data assets, and conversational analytics. Translate business needs into prioritized user stories, enable natural-language analytics (Genie/Copilot), ensure governance, data quality and security, and drive adoption through training, monitoring, and continuous improvement.

Lead enterprise observability strategy and roadmap, align cross-functional teams (Monitoring Tools, APM, SRE), define standards and KPIs, optimize platforms for cost and scale, drive automation and NoOps progression, ensure governance/security and visibility for AI-enabled systems, and report outcomes to executive leadership.

Own the backlog and drive delivery for CMS and communications tooling across web and mobile. Translate business needs into user stories, define acceptance criteria, remove delivery blockers, validate releases, support adoption, and align platform strategy while partnering with Engineering, Marketing, and Client Experience.

Own and maintain the Encore product backlog, translate stakeholder and club workflows into clear user stories with acceptance criteria, coordinate delivery with engineering and hosting teams, validate releases and enable internal support, and contribute to platform modernization while preserving operational stability for mission-critical club systems.

Lead planning and delivery of Customer Data Platform (CDP) implementations, partner with business and data teams to define requirements, prioritize backlog, drive product strategy and roadmaps, manage Agile squads, measure KPIs, and coordinate cross-functional stakeholders to enable personalization and data activation.

Lead engineering teams to design and deliver enterprise IAM components across Azure, AWS, GCP, Office365 and SaaS. Own product backlog, prioritize user stories, coordinate with security and business stakeholders, define standardized cloud identity patterns, run POCs, and enable secure cloud migrations using IaC, CI/CD and DevSecOps tooling.

Lead enterprise data product strategy and roadmaps, partner with business and technology stakeholders to prioritize and deliver trusted data capabilities, ensure governance/security/quality, drive adoption and measure product success across global teams.

Own and prioritize the technical product backlog, translating business needs into API-level epics, features, and user stories. Coordinate delivery across backend, frontend, MuleSoft integration, and DevOps teams, manage dependencies, refine work, support sprint planning, remove blockers, and ensure quality delivery. The role also involves stakeholder negotiation, process improvement, automation, and coaching junior product professionals across distributed and offshore teams.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, partner with engineering on prompts, evaluation frameworks, guardrails, and APIs. Drive experiments to improve automation, answer quality, and customer satisfaction while integrating next-gen voice models and partnering with vendors like OpenAI.

Lead development and scaling of an AI agent platform integrating LLMs, agents, and internal APIs. Define roadmaps, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to improve automation, answer quality, and customer experience through experimentation and production deployments.

Lead development and scaling of a customer-facing agentic AI platform using LLMs and agents. Define prompt strategies, evaluation frameworks, and guardrails; translate technical architecture to stakeholders; run experiments to improve automation, answer quality, and customer satisfaction; and partner with OpenAI on voice and workflow model integrations.

Lead the end-to-end development and scaling of Jerry.ai's AI agent platform. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Drive experiments to improve answer quality, automation rates, and customer satisfaction. Serve as technical translator, establish AI best practices, and work with partners like OpenAI to deploy voice models and workflow automation.

Lead cross-functional teams to define, build, and deliver production-grade AI/ML solutions. Translate business objectives into technically feasible architectures, drive roadmaps, enforce MLOps and engineering standards, ensure governance and model risk controls, and measure business value from models. Mentor colleagues and coordinate cloud-native deployment, monitoring, and lifecycle management of AI systems.

The Principal Technical Product Owner will lead the DoiT Partner Platform, driving strategy, execution, and mentoring product owners while leveraging expertise in cloud operations and billing systems.

Lead business analysis in capital markets: analyze processes, systems, and trading data; gather and document stakeholder requirements for new initiatives and system enhancements; assess market and regulatory impacts; leverage SQL/analytics; liaise with trading platform and OMS teams.

Define, build, and scale the Xsolla Money Account, focusing on embedded financial services while collaborating with cross-functional teams.