Technical Product Manager, Observability

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the vision, roadmap, and priorities for k0rdent AI observability encompassing GPU compute, east-west fabric, high-performance storage, DPU/SmartNIC telemetry, workload schedulers, inference serving, and data services.

• Convert requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into a clear product direction.

• Collaborate with engineering to define requirements and assess trade-offs.

• Oversee the observability backlog by incorporating feedback from production deployments and design partners.

• Monitor and influence the response to evolving observability standards and technologies, including OpenTelemetry, DCGM GPU metrics, InfiniBand/RoCE fabric counters, storage platform telemetry APIs, and AI workload profiling.

• Establish integration strategies for vendor telemetry sources into a cohesive, operator-facing observability platform.

• Work alongside product marketing and field teams on positioning, technical briefs, and reference architectures.

• Represent Mirantis to customers, analysts, and ecosystem partners.

⛳️ Requirements

• A minimum of 5 years in product management or a senior technical position overseeing an observability product or managing large-scale monitoring infrastructure.

• Proficient understanding of Prometheus, OpenTelemetry, distributed tracing (Jaeger, Tempo), and log aggregation (Loki, Elasticsearch/OpenSearch).

• Expertise in Kubernetes observability, cloud-native monitoring, or metrics and alerting pipeline architecture.

• Capability to collaborate directly with engineering on technical trade-offs and with field teams in competitive GPU cloud and NeoCloud deals.

• Familiarity with GPU observability, including DCGM metrics, AI workload profiling, and performance analysis.

• Understanding of east-west fabric telemetry, such as InfiniBand counters, RoCEv2 congestion metrics (ECN, PFC, DCQCN), or switch-level fabric health.

• Experience with high-performance storage telemetry from platforms like VAST Data, Weka, or DDN, encompassing IOPS, latency, and throughput instrumentation at scale.

• Knowledge of 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.

🏝️ Benefits

• Employees have the option to work remotely.

• Collaborate with a top-notch, distributed team dedicated to openness and technical excellence.

• Establish the observability foundation for the AI cloud era, directly engaging with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises.

• Shape the product narrative and drive go-to-market success.