Customer Success Manager, SambaNova Systems

• 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
• Demonstrated ability to manage complex, multi-stakeholder accounts and build executive-level relationships with technical and business audiences
• Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams
• Proven track record of driving adoption, retention, and expansion within a technical enterprise product
• Excellent project management skills with the ability to manage multiple priorities and coordinate across internal teams in a fast-moving environment
• Strong written and verbal communication skills; able to distill complex technical concepts for both executive and practitioner audiences
• Bachelor's degree or equivalent experience in a technical or business field

Desirable

• As a Customer Success Manager, 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 SambaNova's full-stack AI platform, and drive expansion across their organizations
• Own the post-sales relationship for a portfolio of enterprise accounts, serving as the primary point of contact from onboarding through renewal and expansion
• Build tailored success plans aligned to each customer's AI adoption goals — translating their business objectives into measurable outcomes with SambaNova's platform
• Lead onboarding and go-live efforts, coordinating with Solutions Engineering, Professional Services, and Product teams to ensure smooth deployments
• Monitor adoption metrics and platform utilization; proactively identify churn risks and build mitigation plans in partnership with the account team
• Drive upsell and cross-sell opportunities by demonstrating expanding business value and introducing customers to new use cases across departments
• Act as the voice of the customer internally — synthesizing feedback on product gaps, feature requests, and roadmap priorities for the Product and Engineering teams
• Deliver executive business reviews (EBRs) showcasing ROI, usage trends, and strategic recommendations for deeper AI adoption
• Partner with Sales, Solutions Engineering, and Marketing to develop customer advocacy programs, case studies, and reference accounts