Senior Manager, Sales Engineering – AI / GPU Cloud

🕒 il y a 29 jours

🏄 California – Distant

🏄 California – Remote

⏰ Temps Plein

🟠 Senior

💸 Ingénieur technico-commercial

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 22%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Mirantis

Site WebLinkedInTous les Emplois

501 - 1000 employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Mirantis est une entreprise spécialisée dans la gestion de conteneurs et les solutions d'infrastructure cloud. Elle propose une gamme de produits, notamment Mirantis Kubernetes Engine (MKE), Mirantis OpenStack pour Kubernetes (MOSK) et Mirantis Container Cloud (MCC), qui offrent des plateformes de gestion de Kubernetes et de conteneurs de niveau entreprise. Mirantis développe également des outils pour des chaînes d'approvisionnement logicielles sécurisées, tels que le Mirantis Container Runtime (MCR) et le Mirantis Secure Registry (MSR). En tant que défenseur des technologies open source, Mirantis soutient divers projets et fournit des ressources comme Lens Desktop, un IDE Kubernetes populaire, et un support technique pour les entreprises adoptant des technologies cloud-natives. Leurs solutions s'adressent à des secteurs tels que les services publics, les services financiers et les industries des services technologiques et SaaS au sens large.

Description

• Lead and build the sales engineering and solutions architecture team • Hire, coach, and retain sales engineers and solutions architects • Define the pre-sales operating model and build reusable discovery, architecture, TCO, benchmark, POV, demo, and RFP processes • Set and maintain technical quality standards and run enablement • Partner with Account Executives as technical lead on strategic and enterprise opportunities from discovery through technical close • Run MEDDPICC or equivalent qualification and develop technical win plans • Architect solutions across compute, networking, storage, and orchestration • Produce sizing, capacity plans, and TCO comparisons against hyperscalers and self-build alternatives • Design and drive proofs of concept and proofs of value, including benchmarks and success criteria • Feed product and capacity requirements to product, platform, and supply/capacity planning teams • Work with NVIDIA field and partner ecosystems on reference architectures and joint pursuits • Influence product roadmap and packaging based on field experience • Travel meaningfully to customers, data centers, and NVIDIA/partner events

🎯 Exigences

• Hands-on experience running or standing up distributed training and/or production inference ML workloads • Practical fluency across data pipelines, distributed training, fine-tuning, and serving • Understanding of interconnect, memory bandwidth, I/O, and scheduling bottlenecks • Proficiency with PyTorch and related tooling, including NCCL, CUDA concepts, containers, and schedulers • Deep knowledge of NVIDIA compute platforms, including Hopper and Blackwell generations and DGX, HGX, and MGX systems • Knowledge of NVLink/NVSwitch, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs • Familiarity with NVIDIA AI Enterprise, NIM, NeMo, Triton/TensorRT-LLM, Base Command, Run:ai, GPU orchestration, and NGC • Understanding of the NVIDIA Cloud Partner motion and co-selling • Track record supporting complex B2B sales cycles of 6–18+ months with large ACV/TCV • Experience with multi-stakeholder enterprise sales involving technical, procurement, finance, security, and executive stakeholders • Ability to build and defend TCO/ROI models and translate benchmarks into commercial value • Experience hiring, developing, and leading a sales engineering or solutions architecture team, or clear readiness to do so • Player-coach mindset and credibility in complex technical deals • Strongly preferred: experience selling GPU cloud, HPC, or specialized infrastructure • Strongly preferred: Kubernetes, GPU operators/device plugins, Slurm, multi-cluster management, and virtualized GPU/KubeVirt patterns • Strongly preferred: storage-for-AI literacy, data-center economics, and exposure to sovereign, regulated, or government AI buyers

🏖️ Avantages

• Competitive compensation package with a strong benefits plan • Professional development and training • Attend conferences and working groups • Company outings • Happy hours • Hackathons • Tech talks • Remote work option • Equity • Variable compensation tied to team bookings/attainment