Cortex Product Owner
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Role details
Tech stack
Requirements
cloud, platform, security, risk, architecture, and business stakeholders. Manage product releases, feedback, dependency resolution, and continuous improvement. Required Qualifications 812 years of relevant professional experience. Strong experience in technical product management for cloud AI/ML platforms. Hands-on understanding of Google Cloud Platform AI and data services. Strong knowledge of Vertex AI, BigQuery, GKE, AutoML, and workflow orchestration. Strong understanding of MLOps and the end-to-end model-development lifecycle. Experience with secure self-service platform design. Understanding of model governance, security, and risk controls. Experience managing roadmaps, backlogs, releases, migrations, and platform adoption. Strong senior stakeholder leadership and executive communication skills. Must be located in Charlotte, NC or the California Bay Area. Preferred Qualifications Degree in engineering, computer science, data science, or a related field. Google Cloud Platform Professional Machine Learning Engineer, Cloud Architect, or equivalent certification. Experience managing an enterprise predictive AI or data-science platform. Education: Bachelors Degree Certification: Google Cloud Platform Professional Machine Learning Engineer , Cloud Architect
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