Senior Technical Product Manager - AI GPU Observability

Mirantis; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Mirantis is seeking a Technical Product Manager to own observability for k0rdent AI, Mirantis’ control plane for GPU infrastructure and AI workloads. You will define the observability strategy, roadmap, and feature priorities to give operators visibility into health, performance, and resource utilization of GPU clusters running large-scale training and inference.

You will collaborate with engineering to shape technical requirements, with marketing to define positioning, and with customers to

Qualifications

• Experience owning observability strategy, roadmap, and priorities for large-scale AI infrastructure.
• Strong fluency with Kubernetes observability, cloud-native monitoring, and metrics/alerting pipelines.
• Knowledge of OpenTelemetry, Prometheus, distributed tracing, and log aggregation.
• Exposure to GPU observability metrics and performance profiling in AI workloads.

Responsibilities

• Own the observability vision and backlog for k0rdent AI across GPU compute, fabric, storage, and telemetry.
• Define integration strategies for vendor telemetry sources and partner with engineering to evaluate trade-offs.
• Collaborate with marketing and field teams on positioning, briefs, and reference architectures.
• Represent Mirantis with customers, analysts, and ecosystem partners to shape go-to-market success.

Skills

Observability product management

Kubernetes observability

OpenTelemetry

Prometheus

Distributed tracing

Stakeholder collaboration

AI infrastructure stack

Tools

Prometheus

OpenTelemetry

Jaeger

Tempo

Loki

Elasticsearch/OpenSearch

DCGM metrics

InfiniBand

RoCE

SLURM

Job description

Mirantis is seeking a Technical Product Manager to own observability for k0rdent AI, Mirantis’ control plane for GPU infrastructure and AI workloads. You will define the observability strategy, roadmap, and feature priorities to give operators visibility into health, performance, and resource utilization of GPU clusters running large-scale training and inference.

You will collaborate with engineering to shape technical requirements, with marketing to define positioning, and with customers to