Product Manager – AI Inference, Model Serving

🕒 Maio 28

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

✅ Gerente de Produto

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Mirantis

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏢 Corporativo

☁️ SaaS

Cloud Computing • Enterprise • SaaS

A Mirantis é uma empresa especializada em soluções de gerenciamento de contêineres e infraestrutura em nuvem. Ela oferece uma variedade de produtos, incluindo o Mirantis Kubernetes Engine (MKE), o Mirantis OpenStack para Kubernetes (MOSK) e o Mirantis Container Cloud (MCC), que fornecem plataformas de gerenciamento de Kubernetes e contêineres em nível empresarial. A Mirantis também desenvolve ferramentas para cadeias seguras de fornecimento de software, como o Mirantis Container Runtime (MCR) e o Mirantis Secure Registry (MSR). Como defensora das tecnologias de código aberto, a Mirantis apoia vários projetos e fornece recursos como o Lens Desktop, um popular IDE para Kubernetes, além de suporte técnico para empresas que adotam tecnologias nativas em nuvem. Suas soluções atendem a setores como serviços públicos, serviços financeiros e indústrias mais amplas de SaaS e serviços de tecnologia.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.