Customer Success Manager

Join SambaNova, a leading AI company, as a Customer Success Manager. In this role, you will be the strategic partner to our most important enterprise customers, guiding them from onboarding through full-scale AI deployment. You will own the post-sales relationship, ensure customers extract maximum value from our full-stack AI platform, and drive expansion across their organizations. This position offers flexible PTO, parental leave, medical, dental, and vision benefits, 401k/pensions, gym access, and flexible working hours.

• Assurer la relation post-vente pour un portefeuille de comptes d'entreprise, en tant que point de contact principal depuis l'intégration jusqu'au renouvellement et à l'expansion.
• Élaborer des plans de succès adaptés aux objectifs d'adoption de l'IA de chaque client, en traduisant leurs objectifs commerciaux en résultats mesurables.
• Surveiller les indicateurs d'adoption et d'utilisation de la plateforme ; identifier proactivement les risques de désabonnement et élaborer des plans d'atténuation en partenariat avec l'équipe de compte.
• Demonstrated ability to manage complex, multi-stakeholder accounts and build executive-level relationships with technical and business audiences
• 5–10+ years in Customer Success, Technical Account Management, or related enterprise-facing roles, ideally in AI/ML infrastructure, cloud computing, or deep-tech hardware or software
• Excellent project management skills with the ability to manage multiple priorities and coordinate across internal teams in a fast-moving environment
• Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams
• Bachelor's degree or equivalent experience in a technical or business field
• Proven track record of driving adoption, retention, and expansion within a technical enterprise product
• Strong written and verbal communication skills; able to distill complex technical concepts for both executive and practitioner audiences
• Experience with AI accelerators or GPUs
• LLM fine-tuning or inference knowledge
• Enterprise SaaS or PaaS background
• Familiarity with Sambanova products or similar MLOps platforms
• MBA or advanced technical degree