Senior Technical Product Manager - Observability

4w1 month ago

Vultr

US · Full-time · $130,000 – $165,000

About this role

Vultr is seeking a highly skilled Senior Technical Product Manager to own the Observability Platform — the system providing telemetry ingestion, querying, visualization, alerting, and retention for large-scale GPU clusters and multi-tenant cloud environments. This is a highly visible role in a high-growth technology company focused on AI infrastructure.

In this role, you will define Vultr's observability strategy across bare metal, VMs, Kubernetes, and managed services. You will drive the customer-facing observability surface including dashboards, APIs, telemetry pipelines, and topology-aware insights while translating low-level signals into actionable health views.

You will work closely with engineering on technical tradeoffs across metrics agents, collectors, data models, and retention architecture. Strong partnership with compute, network, and platform teams ensures every new infrastructure launch is observable by design.

This role offers the opportunity to build products for distributed AI environments and define health models that help customers identify degraded nodes and performance anomalies at fleet scale. Join Vultr's fast-growing team and leave your mark on the future of AI Infrastructure.

Requirements

Deep technical fluency in observability infrastructure, distributed systems monitoring, and cloud-native telemetry
Strong product instinct for developer and operator experiences
Proven ability to partner with engineering and platform teams to drive complex technical initiatives
Experience with large-scale GPU clusters and multi-tenant cloud environments
Understanding of AI training and inference workloads across nodes, clusters, schedulers, and network fabrics
Ability to define health models and alerting strategies for fleet-scale performance analysis

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 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

Benefits

100% company-paid insurance premiums for employee medical, dental, and vision plans
401(k) plan that matches 100% up to 4% with immediate vesting
Professional Development Reimbursement of $2,500 each year
1 month paid sabbatical every 5 years plus increased PTO at 3-year and 10-year anniversaries
$500 stipend for remote office setup in first year + $400 each following year
Internet reimbursement up to $75 per month and gym membership reimbursement up to $50 per month