Product Manager AI Inference & Model Serving

Job Summary

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 should be comfortable reasoning across the full stack identifying performance bottlenecks evaluating system design trade-offs and translating technical insight into clear product requirements architecture direction and customer-facing solutions.

Responsibilities

• Own product strategy roadmap and lifecycle for inference and model serving including serverless inference dedicated endpoints autoscaling routing KV cache management and the related observability
• Lead deep technical discovery with NeoClouds sovereign clouds and enterprise platform teams and translate findings into prioritized requirements and architecture direction
• Partner with engineering on system design trade-offs across runtime integration GPU scheduling network storage and serving topology including disaggregated serving and multi-model serving
• Define positioning grounded in measurable outcomes: latency distributions throughput per GPU utilization tail reliability and cost per tokens
• Drive go-to-market execution: pricing and packaging reference architectures sizing guides PoC playbooks and direct engagement with customers analysts and ecosystem partners

Qualifications :

• 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
• Proven capability to reason about performance trade-offs across GPU network storage orchestration and runtime layers and to translate low-level technical capability into business value such as TTFT throughput per GPU and TCO
• Working knowledge of modern inference runtimes (vLLM SGLang TensorRT-LLM Dynamo Triton) and the optimization patterns that matter in production: continuous batching KV cache management cold starts prefill versus decode disaggregated serving and multi-model serving
• Credibility with engineering leaders and infrastructure operators including comfort in production architecture reviews and technical commercial conversations with platform engineering buyers

Why youll love Mirantis

• Build the token factory 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

Additional Information :

What does Mirantis offer you

• Work with an established Silicon Valley leader in the cloud infrastructure industry.
• Work with exceptionally passionate talented and engaging colleagues helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
• Be a part of cutting-edge open-source innovation.
• Thrive in the high-energy environment of a young company where openness collaboration risk-taking and continuous growth are valued.
• Professional development and training.
• Attend conferences and working groups.
• Customized workstation (macOS Windows).
• A competitive compensation package with strong benefits plan and stock options.

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Remote Work :

Yes

Employment Type :

Full-time