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Vultr

Cloud infrastructure provider offering SSD VPS

Senior Product Manager - Observability

Technical Product ManagementPosted on Nov 11
Full-timeRemote in USA$175k - $195kRemote

About the Job

Requirements

  • 7+ years of product management experience in cloud infrastructure, observability, monitoring, or developer platforms.
  • Deep understanding of observability and monitoring systems, including metrics, logging, tracing, alerting, and telemetry pipeline architecture.
  • Experience defining product strategy and roadmaps for platform or infrastructure products at scale.
  • Strong technical background, including the ability to engage with engineering on telemetry agents, data models, query engines, retention, and distributed systems.
  • Experience with GPU, AI/ML, or HPC infrastructure monitoring and the unique observability challenges of training and inference workloads.
  • Track record of shipping developer- and operator-facing products with measurable impact on reliability, time-to-detect, or operational efficiency.
  • Experience working across engineering, design, marketing, and sales teams.
  • 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 for large-scale GPU clusters and multi-tenant cloud environments.
  • Define Vultr's observability strategy across bare metal, VMs, Kubernetes, and managed services, aligned to the infrastructure roadmap, reliability goals, and customer experience.
  • Drive the customer-facing observability surface across dashboards, APIs, telemetry pipelines, and topology-aware insights.
  • Translate low-level signals across GPU, CPU, memory, storage, and network into actionable health views, alerts, and debugging workflows for customers.
  • Work closely with engineering on technical tradeoffs across metrics agents, collectors, data models, telemetry pipelines, APIs, and retention architecture.
  • Build products for distributed AI environments by understanding how training and inference workloads behave across nodes, clusters, schedulers, and network fabrics.
  • Define health models that help customers quickly identify degraded nodes, performance anomalies, and cluster bottlenecks at fleet scale.
  • Ensure new infrastructure and platform launches are observable by design through strong partnership with compute, network, and platform teams.
  • Stay current on modern observability stacks and AI infrastructure trends, including how GPU workloads change performance analysis, cost attribution, and operational workflows.

About the Company

Vultr

Cloud infrastructure provider offering SSD VPS

Vultr provides cloud infrastructure services that let developers, startups, and enterprises run high-performance cloud servers (SSD VPS), storage, and networking. Its products include cloud compute instances, storage solutions, and networking capabilities, which can be deployed globally in 60 seconds and billed on a subscription (pay-for-use) basis. Customers manage resources through an online dashboard and API, scaling up or down as needed. Vultr differentiates itself by emphasizing fast global deployment, straightforward management, and strong customer support at a competitive price, supported by a large footprint of users and deployed servers. The company’s goal is to simplify cloud computing and offer scalable, reliable infrastructure that is easy to use and cost-effective for a worldwide audience.

Company size
201-500
Company stage
Debt Financing
Total funding
$662M
Headquarters
West Palm Beach, FL
Founded
2014

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