2 дня назад
Customer Success Manager (AI)
94 500 - 115 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Manager (AI): Managing post-sales relationships and guiding enterprise customers from onboarding through full-scale deployment of SambaNova's AI platform with an accent on adoption, retention, expansion, and executive stakeholder management. Focus on coordinating complex AI deployments, identifying churn risks, demonstrating ROI, and translating customer feedback into product and roadmap priorities.
Location: London, England, United Kingdom
Salary: £94,500–£115,000 GBP base salary
Company
builds integrated AI hardware and software platforms, including SambaStack, an enterprise-grade, cloud-agnostic inference serving platform for deploying and scaling generative AI and large language model workloads.
What you will do
- Own post-sales relationships for a portfolio of enterprise accounts from onboarding through renewal and expansion.
- Build customer success plans that connect AI adoption goals with measurable business outcomes.
- Lead onboarding and go-live efforts in collaboration with Solutions Engineering, Professional Services, and Product teams.
- Monitor adoption and utilization metrics, identify churn risks, and develop mitigation plans.
- Drive upsell and cross-sell opportunities by demonstrating business value and expanding AI use cases.
- Represent customer feedback internally and deliver executive business reviews covering ROI, usage trends, and strategic recommendations.
Requirements
- 5–10+ years of experience in Customer Success, Technical Account Management, or related enterprise-facing roles.
- Experience managing complex, multi-stakeholder enterprise accounts and building executive-level relationships.
- Working knowledge of AI/ML workflows, large language models, or high-performance computing infrastructure.
- Proven success driving adoption, retention, and expansion for technical enterprise products.
- Strong project management, communication, and technical concept translation skills.
- Bachelor’s degree or equivalent experience in a technical or business field.
Nice to have
- Experience with AI accelerators or GPUs.
- Knowledge of LLM fine-tuning or inference.
- Familiarity with products or similar MLOps platforms.
- Enterprise SaaS or PaaS experience.
- MBA or advanced technical degree.
Culture & Benefits
- Work with an integrated AI hardware and software platform addressing enterprise and high-performance computing challenges.
- Collaborate across Sales, Solutions Engineering, Marketing, Product, and Engineering.
- Full-time employment includes competitive total rewards, equity, and benefits.
- US-based benefits information includes medical, dental, vision, disability, life insurance, HSA, FSA, wellness, and employee assistance programs.
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