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Arkane Cloud

Cloud GPU servers for AI training

VP Product & Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLyon, France

About the Job

Requirements

  • At least 10 years of engineering experience with a product dimension, including at least 3 years leading product and technical groups.
  • Have built and put at least one AI solution into production at scale, such as an inference platform, MLOps, model API, or cloud product for developers.
  • Experience with AI and inference serving engines such as vLLM, SGLang, or equivalent, including deploying and optimizing models in production.
  • Ability to design services that run on Kubernetes and collaborate effectively with the Infrastructure team.
  • Experience with usage-based measurement and billing, authentication, and permissions management (IAM).
  • Experience managing growing groups.
  • Professional fluency in English.

Responsibilities

  • Build AI services.
  • Own the platform vision and roadmap.
  • Structure and grow the Product and Engineering groups.
  • Strengthen the platform foundations.
  • Co-develop provisioning APIs, new GPU offerings and their pricing with the CSO, incident management, and customer communications with the VP Infrastructure.
  • Meet customers and teams, and assess the console, API, inference services, and billing during the first month.
  • Validate a 12-month product and AI roadmap with the CEO, establish the Product and Engineering organizations, and formalize interfaces with Infrastructure by month three.
  • Launch or overhaul a managed AI service, track product indicators monthly, and complete key hires by month six.

Desired Qualifications

  • Experience at a cloud provider, GPU neocloud, or MLOps platform.
  • Knowledge of model marketplaces.

About the Company

Arkane Cloud

Cloud GPU servers for AI training

Arkane Cloud builds and manages GPU-backed cloud infrastructure for Artificial Intelligence. It provides GPU servers and related cloud resources so customers can train AI models and run high-scale inference at scale. The service centers on offering dedicated capacity for AI workloads, enabling users to provision powerful GPUs as needed without managing the hardware themselves. This specialization in AI-focused GPU deployment differentiates Arkane Cloud from more general cloud providers, emphasizing scalable resources tailored for training and large-volume inference with the goal of helping customers accelerate AI development and deployment.

Company size
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Company stage
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Total funding
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Headquarters
Lyon, France
Founded
Not listed

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