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SambaNova Systems

Customer Success Manager

SambaNova Systems

Customer Success Manager guiding enterprise clients in AI deployment and maximizing value from SambaNova's platform. Building tailored success plans and driving upsell opportunities.

Posted 7/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $148,500 - $181,500 per yearWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 95% premium coverage for employee medical insurance
  • 77% premium coverage for dependents
  • Health Savings Account (HSA) with employer contribution
  • Dental insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • Voluntary Life insurance
  • Accidental Death & Dismemberment (AD&D) insurance
  • Flexible Spending Account (FSA) options including Health Care, Limited Purpose, and Dependent Care
  • Subscription to Headspace
  • Gympass+ membership with access to physical gyms
  • One Medical membership
  • Counseling services with an Employee Assistance Program
  • Well-being benefits for dependents

ATS Keywords

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Hard Skills & Tools
AI AdoptionCloud ComputingHPC InfrastructureLarge Language ModelsData Science EngagementRetention StrategiesAdoption Metrics MonitoringChurn Risk MitigationBusiness Review DeliveryCross-Sell Opportunities
Soft Skills
Strong Communication SkillsStakeholder ManagementComplex Problem SolvingAdaptabilityTeam Coordination
Certifications
Bachelor's Degree