We enable serverless inference via our GPU orchestration and model load-balancing system. We unlock fine-tuning by enabling organizations to size their server fleet to throughput needs, not number of models in the catalogue. See it in action on our public cloud, which offers inference for 10k+ open weight models.
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Featherless gives you the freedom to reliably deploy any open-source AI model effortlessly.
We enable serverless inference via our GPU orchestration and model load-balancing system. We unlock fine-tuning by enabling organizations to size their server fleet to throughput needs, not number of models in the catalogue. See it in action on our public cloud, which offers inference for 10k+ open weight models.
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Featherless AI a 4 offres ouvertes au Canada en date du 8 novembre 2026. Principaux lieux : Vancouver, Halifax et Ottawa.
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Featherless AI
3+ ansCandidates need 3 to 6 years in pre-sales engineering, solutions architecture or customer-facing engineering, with hands-on Python and working knowledge of LLM inference serving. Featherless AI also expects familiarity with the open-model ecosystem, containers and Kubernetes, and clear written communication.
Python, Kubernetes, Hugging Face, vLLM, SGLang, TensorRT-LLM
Featherless AI
1+ ansCandidates need 1-2 years of experience in sales, developer relations or entrepreneurship, and must be comfortable talking with technical people. Featherless AI wants clear written and spoken English, strong AI tool skills and the ability to work independently.
HubSpot, Clay, Reply.io, n8n, CRM
Featherless AI
3+ ansCandidates need 3 to 6 years in a closing role in cloud, MLOps or AI tooling, with a record of closing deals with technical buyers. They must communicate clearly, forecast well and be self-driven.
HubSpot, Clay, Claude, ChatGPT
Featherless AI
5+ ansCandidates need 5+ years in startup operations, strategy consulting, banking or a similar high-ownership role, with strong judgment under ambiguity. They need enough AI inference and model-serving knowledge to ask good questions, and a record of turning messy problems into finished plans.
Prioritization, Logistics, Recruitment, Sales, Leadership, ML
1 entreprises