About Mirantis Mirantis 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. Backed by Insight and Sapphire.
About the role
Mirantis is looking for a commercially driven, deeply technical Product Manager to own AI inference and model serving for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role sits at the intersection of AI inference, cloud-native infrastructure, distributed systems, and performance engineering.
What they're looking for
- 7+ years in product management, technical product management, or a senior technical role owning AI/ML and inference product(s)
- Strong understanding of production AI inference, including model serving, serverless execution, dedicated endpoints, autoscaling, routing, workload placement, observability, and reliability
- Credibility with engineering leaders and infrastructure operators, including comfort in production architecture reviews and technical commercial conversations with platform engineering buyers
More about this role
Mirantis is looking for a commercially driven, deeply technical Product Manager to own AI inference and model serving for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role sits at the intersection of AI inference, cloud-native infrastructure, distributed systems, and performance engineering. You will define how NeoClouds and Enterprise customers deploy, scale, and operate production inference services while extracting maximum performance from the underlying GPU, network, and storage infrastructure.
This role owns product strategy and solution development for inference products across on-premises, cloud, and edge environments. The scope includes serverless inference, dedicated endpoints, workload placement, autoscaling, routing, lifecycle management, observability, and full-stack performance optimization. This person will define how customers run production model-serving workloads at scale while improving latency, throughput, utilization, reliability, cost, and operational control.
The ideal candidate has experience with high-performance infrastructure products and understands how production systems behave under real-world load. They...
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