5 часов назад
Customer Success Manager - EMEA (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Manager - EMEA (AI): Driving adoption, retention, and expansion for strategic enterprise accounts using tailored success plans, technical support, and executive alignment with an accent on AI infrastructure, customer outcomes, and trusted-advisor relationships. Focus on resolving complex technical issues, coordinating onboarding and support, conducting business reviews, and identifying expansion opportunities across graph, NoSQL, and cloud-native data environments.
Location: Remote within Europe, with CEST working hours
Company
provides a unified multimodel contextual data platform that connects enterprise data with LLMs, copilots, and AI agents through graph, vector, document, key-value, and search capabilities.
What you will do
- Drive adoption, retention, and expansion across high-value strategic accounts.
- Lead customer onboarding and adoption through tailored success plans.
- Build trusted-advisor relationships with executive and operational stakeholders.
- Conduct QBRs and MBRs to track ROI and business outcomes.
- Provide elevated technical support for issues, bugs, upgrades, and open customer cases.
- Identify expansion opportunities with Sales and represent customer needs to Product and Engineering.
Requirements
- At least 5 years of experience in customer-facing roles, including customer engagement and technical training.
- Experience with ticketing systems such as JIRA or Zendesk.
- Experience with at least one programming language, such as C++, Java, or JavaScript.
- Knowledge of network fundamentals including DHCP, DNS, and HTTP.
- Hands-on Unix/Linux administration experience with systems such as RedHat, CentOS, or CoreOS.
- Experience with Docker, Kubernetes, NoSQL technologies, database systems, troubleshooting, root cause analysis, and technical communication in English.
Nice to have
- Experience with graph technologies.
Culture & Benefits
- Work remotely within Europe and align with CEST hours.
- Contribute to AI and data infrastructure for enterprise applications.
- Collaborate with engineers, marketers, and product leaders.
- Help shape the contextual data layer for AI-powered applications.
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