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Open nowPosted 58 days ago

Technical Product Manager, Observability – remote in the US

Mirantis94 open roles

Where
Remote, USA, United States
Work mode
Remote
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Your applicationOpen nowTechnical Product Manager, Observability – remote in the USMirantis · Remote, USA, United States

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Mirantis postings stay open a median of 42 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 58 days ago

Mirantis median: 42 days open

The posting

Company Description

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 Description

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

  • 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

Qualifications

  • 5+ years in product management or a senior technical role owning an observability product or operating large-scale monitoring infrastructure
  • Working knowledge of Prometheus, OpenTelemetry, distributed tracing (Jaeger, Tempo), and log aggregation (Loki, Elasticsearch/OpenSearch)
  • Fluency in Kubernetes observability, cloud-native monitoring, or metrics and alerting pipeline architecture
  • Ability to work directly with engineering on technical trade-offs and with field teams in competitive GPU cloud and NeoCloud deals

Strongly Preferred:

  • Exposure to GPU observability, including DCGM metrics, AI workload profiling and performance analysis
  • Familiarity with east-west fabric telemetry - InfiniBand counters, RoCEv2 congestion metrics (ECN, PFC, DCQCN), or switch-level fabric health
  • Experience with high-performance storage telemetry from platforms such as VAST Data, Weka, or DDN, including IOPS, latency, and throughput instrumentation at scale
  • Familiarity with NVIDIA BlueField DPU telemetry, SR-IOV, or offload pipeline observability
  • Exposure 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

Additional Information

Why you’ll love Mirantis

  • 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

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]

By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.

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