Product Owner, AI Factory
Core
Define, industrialize, and execute the product vision and roadmap for the enterprise AI Factory platform, enabling cross-functional squads to build, deploy, and scale high-value AI models and Agentic AI solutions.
Role type
Senior Product Owner (Enterprise AI Platform & MLOps)
Builds
Enterprise AI Factory platform (MLOps, LLMOps, AgentOps), self-serve capabilities, reusable components (MCP frameworks, API gateways, skill libraries), and automated CI/CD pipelines.
Domain
Enterprise IT, Generative AI, MLOps/LLMOps, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Product vision & roadmap execution, backlog management, MLOps/LLMOps industrialization, AI governance & Trust & Safety, FinOps & token unit economics, stakeholder alignment, platform architecture design
Preferred skills
Telecom or large enterprise BSS/OSS experience, Google Cloud Platform (GCP) expertise, bilingualism (English/French)
Technologies
Model Context Protocol (MCP), RAG, semantic knowledge graphs, Docker, Kubernetes, GCP, CI/CD tools, observability/tracing frameworks
Responsibilities
Define and execute multi-quarter roadmap for the AI Factory Platform; Drive industrialization of automated CI/CD pipelines for AI models and autonomous agents; Embed architectural guardrails, data access controls, and compliance mechanisms into the platform pipeline; Establish enterprise-wide FinOps controls and monitor Total Cost of Ownership (TCO); Act as strategic liaison between Enterprise Architecture, Security, and consuming business squads.
Seniority
Senior, hands-on IC
