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Product Owner, AI Factory
Cogeco Connexion. Define, prioritize, and execute the product vision and multi-quarter roadmap for the enterprise AI Factory Platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing product roadmaps and backlogs for AI platforms, with a strong focus on cloud infrastructure, MLOps, and CI/CD processes. Proven ability to lead cross-functional teams and optimize platform economics while ensuring compliance and security standards.
Highest-signal resume keywords
Product OwnershipMLOps/LLMOps ExperienceCloud Cost Optimization (FinOps)CI/CD for ML/AIStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Lifecycle ManagementBacklog PrioritizationUser Journey MappingGenerative AILLM OrchestrationCloud-Native ArchitecturesAPI ManagementEvent-Driven ArchitectureModel RegistriesFeature Stores
Soft Skills
Exceptional CommunicationLeadership Skills
Tools & Technologies
DockerKubernetesObservability ToolsTracing ToolsGCP
Industry Keywords
TelecomBSS/OSSEnterprise System IntegrationsAgile/Scrum MethodologiesData Engineering
Tech Stack
Tools & technologiesCloudDockerGoogle Cloud PlatformKubernetesMicroservices
About the role
Key responsibilities & impact- Define, prioritize, and execute the product vision and multi-quarter roadmap for the enterprise AI Factory Platform
- Own and manage the squad backlog, translating architectural guidelines, enterprise goals, and AI requirements into user stories, acceptance criteria, and technical deliverables
- Deliver self-serve platform capabilities such as the Service Catalog
- Industrialize automated CI/CD pipelines for AI models and autonomous agents
- Lead the roadmap for multi-agent orchestration, arbitration platforms, tracing tools, and automated evaluation frameworks using Golden Datasets
- Standardize and catalogue reusable platform assets, API tool belts, certified agent skill libraries, and semantic data/knowledge graph layers
- Embed architectural guardrails, data access controls, and compliance mechanisms into platform pipelines
- Implement observability, model lineage, and monitoring frameworks
- Partner with InfoSec and Enterprise Architecture to enforce AISecOps standards and MCP tool registry protocols
- Establish FinOps controls and track token attribution to optimize LLM costs
- Monitor TCO and unit economics for foundational models, GCP infrastructure, and external API consumption
- Liaise between Enterprise Architecture, Infrastructure, Data & Analytics, Security, and business squads
- Facilitate onboarding and adoption of the AI Factory platform
Requirements
What you’ll need- Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field
- Minimum of 8+ years of progressive experience in Information Technology, Software Engineering, or Data Platforms
- At least 3–5+ years in a Product Owner, Technical Product Manager, or Product Lead role leading technical platforms or cloud infrastructure solutions
- Experience with MLOps/LLMOps and data engineering
- Track record of building and scaling platform products from concept to enterprise-wide adoption using Agile/Scrum methodologies
- Hands-on experience with modern AI/ML lifecycle management, LLM architectures, and Agentic AI frameworks
- Experience in telecom or large enterprise environments with complex BSS/OSS or decoupled enterprise system integrations is an asset
- Experience managing platform unit economics, cloud cost optimization (FinOps), and cloud infrastructure budgets, especially GCP
- Strong understanding of generative AI, LLM orchestration/arbitration, MCP, RAG, semantic layers/knowledge graphs, and automated agent evaluation
- In-depth familiarity with CI/CD for ML/AI, Docker, Kubernetes, model registries, feature stores, and observability/tracing tools
- Solid grasp of cloud-native architectures, GCP preferred, API management, event-driven architecture, and secure microservices design
- Expertise in backlog prioritization, stakeholder management, OKR tracking, user journey mapping, and value realization
- Exceptional communication and leadership skills
- Bilingualism in English and French is an asset
Benefits
Comp & perks- Professional development
- Health and well-being support
- Workplace accommodations during the application and recruitment process
- Diverse and inclusive workplace culture
- Personal safety support