Technical Product Manager (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 looking for a Technical Product Manager to own observability for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the observability strategy, roadmap, and feature priorities that determine how operators gain visibility into the health, performance, and resource utilization of GPU clusters running large-scale training and inference
• You will shape how k0rdent AI handles everything from GPU-level metrics and distributed tracing across AI workloads, to multi-tenant log aggregation and intelligent alerting — powered by the OpenTelemetry ecosystem, and Prometheus-compatible metrics pipelines
• You will work directly with engineering to shape requirements, with marketing to define positioning, and with customers to help ensure their success
• Own the vision, roadmap, and priorities for k0rdent AI observability across the full stack: GPU compute, east-west fabric (InfiniBand, RoCE), high-performance storage, DPU/SmartNIC telemetry, workload schedulers, inference serving, and data services
• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction; partner with engineering to define requirements and evaluate trade-offs
• Manage the observability backlog using feedback from production deployments and design partners to refine priorities
• Track and shape our response to emerging observability standards and technologies, including OpenTelemetry (OTel), DCGM GPU metrics, InfiniBand/RoCE fabric counters, storage platform telemetry APIs, and AI workload profiling
• Define integration strategies for vendor telemetry sources across the ecosystem — NVIDIA compute and BlueField DPUs, storage platforms (VAST, Weka, DDN), workload managers (SLURM), inference stacks, and vector and relational databases — into a unified, operator-facing observability plane
• Partner with product marketing and field teams on positioning, technical briefs, and reference architectures; represent Mirantis with customers, analysts, and ecosystem partners
• Build the observability foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
• Collaborate with a world-class, distributed team committed to openness and technical excellence
• Shape the product narrative and influence go-to-market success

The ideal candidate brings strong technical fluency in observability tooling and the AI infrastructure stackFluency in Kubernetes observability, cloud-native monitoring, or metrics and alerting pipeline architectureAbility to work directly with engineering on technical trade-offs and with field teams in competitive GPU cloud and NeoCloud deals5+ years in product management or a senior technical role owning an observability product or operating large-scale monitoring infrastructureWorking knowledge of Prometheus, OpenTelemetry, distributed tracing (Jaeger, Tempo), and log aggregation (Loki, Elasticsearch/OpenSearch)Exposure to GPU observability, including DCGM metrics, AI workload profiling and performance analysisFamiliarity with east-west fabric telemetry - InfiniBand counters, RoCEv2 congestion metrics (ECN, PFC, DCQCN), or switch-level fabric healthExperience with high-performance storage telemetry from platforms such as VAST Data, Weka, or DDN, including IOPS, latency, and throughput instrumentation at scaleFamiliarity with NVIDIA BlueField DPU telemetry, SR-IOV, or offload pipeline observabilityExposure to workload-level visibility for SLURM job scheduling, inference serving stacks (vLLM, Triton, TensorRT-LLM), or data service telemetry from vector databases (Milvus, Qdrant) and relational databases in AI pipelines