Cortex generic PO

About the role

Define and prioritize the enterprise predictive AI platform across the model-development lifecycle, driving secure self-service, automation, governance, adoption, migration, and measurable value.

Responsibilities

• Technical product management of an enterprise predictive AI platform
• Drive secure self-service capabilities for internal teams
• Automate workflows and enforce governance across the model-development lifecycle
• Lead adoption and migration initiatives to modernize AI/ML infrastructure
• Measure and communicate platform value and impact

Technical scope

• Google Cloud Platform (GCP) AI/ML services
• Vertex AI for unified ML development and deployment
• BigQuery for scalable data processing and analytics
• Google Kubernetes Engine (GKE) for containerized workloads
• Data and workflow orchestration services
• MLOps and Model Development Lifecycle (MDLC) best practices
• AutoML for automated model training and tuning
• Model governance, security, and risk controls

Leadership and collaboration

• Stakeholder leadership across technical and business teams
• Partner with engineering, data science, and security teams to align platform capabilities with enterprise needs

Local candidates only; W2 employment; 12+ month contract; Charlotte, North Carolina