Technical Product Manager, Observability – remote in the US
About Mirantis
Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/
Job Summary
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.
The ideal candidate brings strong technical fluency in observability tooling and the AI infrastructure stack. You will work directly with engineering to shape requirements, with marketing to define positioning, and with customers to help ensure their success.
Responsibilities
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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
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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
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Manage the observability backlog using feedback from production deployments and design partners to refine priorities
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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
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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
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Partner...