Senior Product Manager, Observability
New
V
VultrCloud infrastructure
Remote - United StatesFull-TimeSenior
Salary175,000 - 195,000 USD per year
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Job Details
- Experience
- 7+ years of product management experience
- Required Skills
- KubernetesProduct ManagementDistributed Systems
Requirements
- Have 7+ years of product management experience in cloud infrastructure, observability, monitoring, or developer platforms.
- Bring deep understanding of observability and monitoring systems, including metrics, logging, tracing, alerting, and telemetry pipeline architecture.
- Have experience defining product strategy and roadmaps for platform or infrastructure products at scale.
- Have a strong technical background engaging with engineering on telemetry agents, data models, query engines, retention, and distributed systems.
- Have experience with GPU, AI/ML, or HPC infrastructure monitoring and observability challenges for training and inference workloads.
- Have a track record of shipping developer- and operator-facing products with measurable impact on reliability, time-to-detect, or operational efficiency.
- Have experience working across engineering, design, marketing, and sales teams.
- Have a bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Responsibilities
- Own the end-to-end observability platform roadmap across telemetry ingestion, querying, visualization, alerting, and retention.
- Define observability strategy across bare metal, VMs, Kubernetes, and managed services.
- Drive customer-facing dashboards, APIs, telemetry pipelines, and topology-aware insights.
- Translate GPU, CPU, memory, storage, and network signals into customer health views, alerts, and debugging workflows.
- Partner with engineering on metrics agents, collectors, data models, telemetry pipelines, APIs, and retention architecture.
- Build observability products for distributed AI training and inference workloads across nodes, clusters, schedulers, and network fabrics.
- Define health models to identify degraded nodes, performance anomalies, and cluster bottlenecks at fleet scale.
- Partner with compute, networking, and platform teams to ensure infrastructure launches are observable by design.
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