We're looking for a senior product leader with 10+ years of experience in product management or software development and a strong technical foundation in software engineering, backend architecture, distributed systems or platform engineering. Practical experience building AI-powered applications, agents or workflow automation is important, alongside familiarity with LLMs, RAG, agent orchestration frameworks, vector databases and modern software delivery practices.
Bachelor’s degree (or higher) in Business Administration, Communications, Marketing, Management, or a related field (or equivalent professional experience).
Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads