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Role Overview:
- Lead the Observability Platform roadmap for telemetry ingestion, querying, visualization, alerting, and retention across large-scale GPU clusters and multi-tenant cloud environments.
- Define observability strategy aligned with infrastructure roadmap and reliability goals for bare metal, VMs, Kubernetes, and managed services.
- Drive customer-facing observability surface including dashboards, APIs, and telemetry pipelines to improve debugging and operational efficiency.
Key Responsibilities:
- Own end-to-end Observability Platform roadmap, ensuring every new infrastructure launch is observable by design.
- Work closely with engineering on technical tradeoffs across metrics agents, collectors, data models, telemetry pipelines, and retention architecture.
- Build products for distributed AI environments by understanding how training and inference workloads behave across nodes, clusters, schedulers, and network fabrics.
Qualifications:
- 7+ years of product management experience in cloud infrastructure, observability, monitoring, or developer platforms.
- Deep understanding of observability systems including metrics, logging, tracing, alerting, and telemetry pipeline architecture.
- Experience with GPU, AI/ML, or HPC infrastructure monitoring and the unique observability challenges of training and inference workloads.
Vultr
Vultr provides high-performance cloud infrastructure solutions including Cloud Compute, GPU, Bare Metal, and Storage across 33 global data centers. It is the world's largest privately-held cloud infrastructure company, funded for over a decade and valued at $3.5 billion, with hundreds of thousands of active customers.