Product Manager – AI Inference, Model Serving

🕒 vor 15 Tagen

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Mirantis

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

🏢 Unternehmen

☁️ SaaS

Cloud Computing • Enterprise • SaaS

Mirantis ist ein Unternehmen, das sich auf Container-Management und Cloud-Infrastrukturlösungen spezialisiert hat. Das Portfolio umfasst unter anderem Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK) und Mirantis Container Cloud (MCC) – Plattformen für Kubernetes und Container-Management auf Enterprise-Niveau. Darüber hinaus entwickelt Mirantis Werkzeuge für sichere Software-Lieferketten, etwa die Mirantis Container Runtime (MCR) und die Mirantis Secure Registry (MSR). Als Verfechter von Open-Source-Technologien unterstützt Mirantis verschiedene Projekte und stellt Ressourcen wie Lens Desktop, eine beliebte Kubernetes-IDE, sowie technischen Support für Unternehmen bereit, die Cloud-native Technologien einführen. Die Lösungen von Mirantis richten sich an Bereiche wie den öffentlichen Sektor, Finanzdienstleistungen sowie SaaS- und Technologiedienstleistungen.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.