[Remote] Product Manager - GPUaaS and OE Telemetry

Note The job is a remote job and is open to candidates in USA. GMI Cloud is an AI-native infrastructure company delivering high-performance GPU compute, inference services, and infrastructure for AI agents. The Product Manager will lead the strategy, roadmap, and execution of the GPU-as-a-Service and Observability Telemetry platforms, translating customer and engineering needs into products for GPU infrastructure consumption and comprehensive monitoring, analytics, and automation. Responsibilities 1. Drive the product strategy and roadmap for the GPUaaS and OE Telemetry platform in collaboration with the Infrastructure Engineering team 2. Translate customer and engineering requirements into prioritized product roadmaps 3. Define product requirements, user stories, acceptance criteria, and success metrics 4. Lead product planning, roadmap reviews, and release planning 5. Measure product adoption, operational impact, and business outcomes using data-driven KPIs 6. Define capabilities requirements for GPU provisioning, lifecycle management, scheduling, orchestration, self-service portal, APIs, multi-tenancy, billing, metering, quotas, and access management 7. Define telemetry and observability capabilities requirements across GPU, compute, storage, networking, Kubernetes, Slurm, AI workloads, and supporting infrastructure 8. Drive capabilities adoption including (but not limited to) 9. Metrics, logs, traces, and events collection 10. OpenTelemetry adoption and instrumentation 11. Real-time dashboards and visualization 12. Intelligent alerting and incident detection 13. Service health and dependency mapping 14. Distributed tracing 15. Root cause analysis 16. Utilization analytics 17. AI-driven anomaly detection and predictive insights 18. SLO/SLI measurement and reliability reporting 19. Partner with Infra Engineering teams, SRE, Platform Developers, Data Center Operations to improve observability, reliability, scalability and operation experience for GPUaaS platform Skills 1. Bachelor's degree in Computer Science, Engineering, or a related technical field 2. 5+ years of Product Management experience in cloud infrastructure, AI infrastructure, or enterprise platforms 3. Strong understanding of GPU computing (NVIDIA H100/H200/B200/B300 or equivalent), Kubernetes, Slurm, Linux, Cloud infrastructure, APIs, Telemetry and observability platforms 4. Experience with monitoring technologies such as Prometheus, Grafana, OpenTelemetry, Elasticsearch/OpenSearch, or similar 5. Experience translating customer requirements into technical product specifications 6. Strong analytical and communication skills 7. Experience building AI cloud or GPU cloud platforms 8. Knowledge of NVIDIA AI Enterprise and related software ecosystems NVSentinel, Fleet Intelligence, etc 9. Experience with multi-tenant IaaS platforms 10. Experience with Agile/Scrum product development Meeting every qualification is not required—if you're excited about this role, we'd love to hear from you Benefits Remote work arrangement for the USA Company Overview GMI Cloud provides GPU cloud access for generative AI applications. It was founded in 2023, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is https//www.gmicloud.ai. Company H1B Sponsorship GMI Cloud has a track record of offering H1B sponsorships, with 2 in 2026, 2 in 2025. Please note that this does not guarantee sponsorship for this specific role.