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
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
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 isamoylova@mirantis.com
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